<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27076?offset=180</link>
	<atom:link href="https://bioinformaticsonline.com/related/27076?offset=180" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/37225/installing-trinity</guid>
	<pubDate>Tue, 03 Jul 2018 04:31:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/37225/installing-trinity</link>
	<title><![CDATA[Installing Trinity !]]></title>
	<description><![CDATA[
<p>Download this https://github.com/trinityrnaseq/trinityrnaseq/releases/tag/Trinity-v2.6.6</p>

<p>➜ cd trinityrnaseq-Trinity-v2.6.6</p>

<p>➜  trinityrnaseq-Trinity-v2.6.6 git:(master) ✗ make<br />Using gnu compiler for Inchworm and Chrysalis<br />cd Inchworm &amp;&amp; (test -e configure || autoreconf) \<br />                &amp;&amp; sh ./configure --prefix=`pwd`  &amp;&amp; make install<br />checking for a BSD-compatible install... /usr/bin/install -c<br />checking whether build environment is sane... yes<br />checking for a thread-safe mkdir -p... /bin/mkdir -p<br />checking for gawk... gawk<br />checking whether make sets $(MAKE)... yes<br />checking for g++... g++<br />checking whether the C++ compiler works... yes<br />checking for C++ compiler default output file name... a.out<br />checking for suffix of executables... <br />checking whether we are cross compiling... no<br />checking for suffix of object files... o<br />checking whether we are using the GNU C++ compiler... yes<br />checking whether g++ accepts -g... yes<br />checking for style of include used by make... GNU<br />checking dependency style of g++... gcc3<br />checking for library containing cos... none required<br />configure: creating ./config.status<br />config.status: creating Makefile<br />config.status: creating src/Makefile<br />config.status: creating config.h<br />config.status: config.h is unchanged<br />config.status: executing depfiles commands<br />make[1]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm'<br />Making install in src<br />make[2]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm/src'<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT Fasta_entry.o -MD -MP -MF .deps/Fasta_entry.Tpo -c -o Fasta_entry.o Fasta_entry.cpp<br />mv -f .deps/Fasta_entry.Tpo .deps/Fasta_entry.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT IRKE_run.o -MD -MP -MF .deps/IRKE_run.Tpo -c -o IRKE_run.o IRKE_run.cpp<br />mv -f .deps/IRKE_run.Tpo .deps/IRKE_run.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT sequenceUtil.o -MD -MP -MF .deps/sequenceUtil.Tpo -c -o sequenceUtil.o sequenceUtil.cpp<br />mv -f .deps/sequenceUtil.Tpo .deps/sequenceUtil.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT IRKE.o -MD -MP -MF .deps/IRKE.Tpo -c -o IRKE.o IRKE.cpp<br />mv -f .deps/IRKE.Tpo .deps/IRKE.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT KmerCounter.o -MD -MP -MF .deps/KmerCounter.Tpo -c -o KmerCounter.o KmerCounter.cpp<br />mv -f .deps/KmerCounter.Tpo .deps/KmerCounter.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT string_util.o -MD -MP -MF .deps/string_util.Tpo -c -o string_util.o string_util.cpp<br />mv -f .deps/string_util.Tpo .deps/string_util.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT Fasta_reader.o -MD -MP -MF .deps/Fasta_reader.Tpo -c -o Fasta_reader.o Fasta_reader.cpp<br />mv -f .deps/Fasta_reader.Tpo .deps/Fasta_reader.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT stacktrace.o -MD -MP -MF .deps/stacktrace.Tpo -c -o stacktrace.o stacktrace.cpp<br />mv -f .deps/stacktrace.Tpo .deps/stacktrace.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT argProcessor.o -MD -MP -MF .deps/argProcessor.Tpo -c -o argProcessor.o argProcessor.cpp<br />mv -f .deps/argProcessor.Tpo .deps/argProcessor.Po<br />g++ -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2   -o inchworm Fasta_entry.o IRKE_run.o sequenceUtil.o IRKE.o KmerCounter.o string_util.o Fasta_reader.o stacktrace.o argProcessor.o  <br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT cigar_tweaker.o -MD -MP -MF .deps/cigar_tweaker.Tpo -c -o cigar_tweaker.o cigar_tweaker.cpp<br />mv -f .deps/cigar_tweaker.Tpo .deps/cigar_tweaker.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT SAM_entry.o -MD -MP -MF .deps/SAM_entry.Tpo -c -o SAM_entry.o SAM_entry.cpp<br />mv -f .deps/SAM_entry.Tpo .deps/SAM_entry.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT SAM_reader.o -MD -MP -MF .deps/SAM_reader.Tpo -c -o SAM_reader.o SAM_reader.cpp<br />mv -f .deps/SAM_reader.Tpo .deps/SAM_reader.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT Cigar.o -MD -MP -MF .deps/Cigar.Tpo -c -o Cigar.o Cigar.cpp<br />mv -f .deps/Cigar.Tpo .deps/Cigar.Po<br />g++ -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2   -o cigar_tweaker cigar_tweaker.o SAM_entry.o sequenceUtil.o SAM_reader.o Cigar.o string_util.o stacktrace.o Fasta_reader.o Fasta_entry.o  <br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT pull_reads_with_kmers.o -MD -MP -MF .deps/pull_reads_with_kmers.Tpo -c -o pull_reads_with_kmers.o pull_reads_with_kmers.cpp<br />mv -f .deps/pull_reads_with_kmers.Tpo .deps/pull_reads_with_kmers.Po<br />g++ -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2   -o pull_reads_with_kmers pull_reads_with_kmers.o Fasta_reader.o Fasta_entry.o sequenceUtil.o KmerCounter.o string_util.o stacktrace.o argProcessor.o  <br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT FastaToDeBruijn.o -MD -MP -MF .deps/FastaToDeBruijn.Tpo -c -o FastaToDeBruijn.o FastaToDeBruijn.cpp<br />FastaToDeBruijn.cpp: In function ‘void createGraphPerRecord(std::vector &gt;, int, bool, ArgProcessor)’:<br />FastaToDeBruijn.cpp:199:39: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />                 if (seq_region.size() &lt; kmer_length) { continue; }  // can be e<br />                                       ^<br />mv -f .deps/FastaToDeBruijn.Tpo .deps/FastaToDeBruijn.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT DeBruijnGraph.o -MD -MP -MF .deps/DeBruijnGraph.Tpo -c -o DeBruijnGraph.o DeBruijnGraph.cpp<br />mv -f .deps/DeBruijnGraph.Tpo .deps/DeBruijnGraph.Po<br />g++ -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2   -o FastaToDeBruijn FastaToDeBruijn.o argProcessor.o Fasta_reader.o Fasta_entry.o sequenceUtil.o string_util.o stacktrace.o DeBruijnGraph.o  <br />g++ -DHAVE_CONFIG_H -I. -I..    -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2 -MT fastaToKmerCoverageStats.o -MD -MP -MF .deps/fastaToKmerCoverageStats.Tpo -c -o fastaToKmerCoverageStats.o fastaToKmerCoverageStats.cpp<br />fastaToKmerCoverageStats.cpp: In function ‘void populate_kmer_counter_from_reads(KmerCounter&amp;, std::__cxx11::string&amp;)’:<br />fastaToKmerCoverageStats.cpp:226:18: warning: unused variable ‘kmer_length’ [-Wunused-variable]<br />     unsigned int kmer_length = kcounter.get_kmer_length();<br />                  ^<br />mv -f .deps/fastaToKmerCoverageStats.Tpo .deps/fastaToKmerCoverageStats.Po<br />g++ -std=c++0x -pedantic -fopenmp -Wall -Wextra -Wno-deprecated -m64 -g -O2   -o fastaToKmerCoverageStats fastaToKmerCoverageStats.o argProcessor.o Fasta_reader.o Fasta_entry.o sequenceUtil.o string_util.o stacktrace.o KmerCounter.o  <br />make[3]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm/src'<br />test -z "/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm/bin" || /bin/mkdir -p "/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm/bin"<br />  /usr/bin/install -c inchworm cigar_tweaker pull_reads_with_kmers FastaToDeBruijn fastaToKmerCoverageStats '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm/bin'<br />make[3]: Nothing to be done for 'install-data-am'.<br />make[3]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm/src'<br />make[2]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm/src'<br />make[2]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm'<br />make[3]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm'<br />make[3]: Nothing to be done for 'install-exec-am'.<br />make[3]: Nothing to be done for 'install-data-am'.<br />make[3]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm'<br />make[2]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm'<br />make[1]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Inchworm'<br />cd Chrysalis &amp;&amp; make UNSUPPORTED=yes <br />make[1]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Chrysalis'<br />./MakeDepend.cc: In member function ‘bool makefile_builder::dependency::operator&lt;(const makefile_builder::dependency&amp;) const’:<br />./MakeDepend.cc:93:47: warning: suggest parentheses around ‘&amp;&amp;’ within ‘||’ [-Wparentheses]<br />                dependent_ == other.dependent_ &amp;&amp;<br />                                               ^<br />./MakeDepend.cc: In member function ‘bool makefile_builder::subdir_and_target::operator&lt;(const makefile_builder::subdir_and_target&amp;) const’:<br />./MakeDepend.cc:130:41: warning: suggest parentheses around ‘&amp;&amp;’ within ‘||’ [-Wparentheses]<br />                subdir_ == other.subdir_ &amp;&amp;<br />                                         ^<br />./MakeDepend.cc: In function ‘int main(int, char**)’:<br />./MakeDepend.cc:223:20: warning: deprecated conversion from string constant to ‘char*’ [-Wwrite-strings]<br />   char * options = "Ad:g:u:fh";<br />                    ^<br />./MakeDepend.cc: In member function ‘void makefile_builder::DumpDependencies(const string&amp;)’:<br />./MakeDepend.cc:491:46: warning: suggest parentheses around ‘&amp;&amp;’ within ‘||’ [-Wparentheses]<br />       if ( ! this-&gt;FileIsSource( dependent ) &amp;&amp; ! this-&gt;FileIsHeader( dependent<br />                                              ^<br />./MakeDepend.cc:493:44: warning: suggest parentheses around ‘&amp;&amp;’ within ‘||’ [-Wparentheses]<br />            this-&gt;FileIsHeader( dependent ) &amp;&amp; this-&gt;FileIsSource( provider ) ) <br />                                            ^<br />./MakeDepend.cc: In member function ‘bool makefile_builder::FileIsHeader(const string&amp;) const’:<br />./MakeDepend.cc:1339:32: warning: suggest parentheses around ‘&amp;&amp;’ within ‘||’ [-Wparentheses]<br />   return ( filename.size() &gt; 2 &amp;&amp;<br />                                ^<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:04 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./aligns/KmerAlignCore.cc -o obj/aligns/KmerAlignCore.o<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:06 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/AACodons.cc -o obj/analysis/AACodons.o<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:09 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/BreakTransByPairs.cc -o obj/analysis/BreakTransByPairs.o<br />./analysis/BreakTransByPairs.cc: In function ‘int main(int, char**)’:<br />./analysis/BreakTransByPairs.cc:105:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />   for (i=0; i &gt; DeBruijnGraph::get_candidate_weldmers(kmer_int_type_t, int)’:<br />./analysis/DeBruijnGraph.cc:473:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />     for (int i = 0; i &lt; left_extensions.size(); i++) {<br />                       ^<br />./analysis/DeBruijnGraph.cc:476:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />         for (int j = 0; j &lt; right_extensions.size(); j++) {<br />                           ^<br />./analysis/DeBruijnGraph.cc: In member function ‘void DeBruijnGraph::recursively_construct_kmer_extensions(kmer_int_type_t, std::vector&amp;, std::vector &gt;&amp;, char, std::map&amp;, int)’:<br />./analysis/DeBruijnGraph.cc:513:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />     for (int i = 0; i &lt; adjacent_kmers.size(); i++) {<br />                       ^<br />./analysis/DeBruijnGraph.cc:527:41: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />         if (kmer_extension_chars.size() == flank_extension_length) {<br />                                         ^<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:30 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/sequenceUtil.cc -o obj/analysis/sequenceUtil.o<br />./analysis/sequenceUtil.cc: In function ‘bool contains_non_gatc(std::__cxx11::string)’:<br />./analysis/sequenceUtil.cc:33:20: warning: array subscript has type ‘char’ [-Wchar-subscripts]<br />  if (_base_to_int[c] &gt; 3)<br />                    ^<br />./analysis/sequenceUtil.cc: In function ‘kmer_int_type_t kmer_to_intval(std::__cxx11::string)’:<br />./analysis/sequenceUtil.cc:264:26: warning: array subscript has type ‘char’ [-Wchar-subscripts]<br />  int val = _base_to_int[c];<br />                          ^<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:31 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/stacktrace.cc -o obj/analysis/stacktrace.o<br />/bin/rm -f lib_BubbleUpClustering_temp.a<br />ar -qc  lib_BubbleUpClustering_temp.a obj/aligns/KmerAlignCore.o obj/analysis/AACodons.o obj/analysis/BubbleUpClustering.o obj/analysis/DNAVector.o obj/analysis/DeBruijnGraph.o obj/analysis/KmerTable.o obj/analysis/NonRedKmerTable.o obj/analysis/sequenceUtil.o obj/analysis/stacktrace.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./BubbleUpClustering<br />g++ -ggdb3    -fopenmp  -o ./BubbleUpClustering  obj/analysis/BubbleUpClustering.o -L. -lm -pthread     -l_BubbleUpClustering_temp<br />/bin/rm lib_BubbleUpClustering_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:32 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/Chrysalis.cc -o obj/analysis/Chrysalis.o<br />./analysis/Chrysalis.cc: In function ‘int main(int, char**)’:<br />./analysis/Chrysalis.cc:384:28: warning: ignoring return value of ‘int system(const char*)’, declared with attribute warn_unused_result [-Wunused-result]<br />     system(command.c_str());<br />                            ^<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:35 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/TranscriptomeGraph.cc -o obj/analysis/TranscriptomeGraph.o<br />./analysis/TranscriptomeGraph.cc: In function ‘int TranscriptomeGraph(vecDNAVector&amp;, FILE*, int, bool)’:<br />./analysis/TranscriptomeGraph.cc:668:20: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />         for (i=0; i&lt;=d.isize()-k; i++) {<br />                    ^<br />/bin/rm -f lib_Chrysalis_temp.a<br />ar -qc  lib_Chrysalis_temp.a obj/aligns/KmerAlignCore.o obj/analysis/AACodons.o obj/analysis/Chrysalis.o obj/analysis/DNAVector.o obj/analysis/TranscriptomeGraph.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./Chrysalis<br />g++ -ggdb3    -fopenmp  -o ./Chrysalis  obj/analysis/Chrysalis.o -L. -lm -pthread     -l_Chrysalis_temp<br />/bin/rm lib_Chrysalis_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:39 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/CreateIwormFastaBundle.cc -o obj/analysis/CreateIwormFastaBundle.o<br />/bin/rm -f lib_CreateIwormFastaBundle_temp.a<br />ar -qc  lib_CreateIwormFastaBundle_temp.a obj/analysis/AACodons.o obj/analysis/CreateIwormFastaBundle.o obj/analysis/DNAVector.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./CreateIwormFastaBundle<br />g++ -ggdb3    -fopenmp  -o ./CreateIwormFastaBundle  obj/analysis/CreateIwormFastaBundle.o -L. -lm -pthread     -l_CreateIwormFastaBundle_temp<br />/bin/rm lib_CreateIwormFastaBundle_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:42 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/GraphFromFasta.cc -o obj/analysis/GraphFromFasta.o<br />./analysis/GraphFromFasta.cc: In function ‘bool SimpleHalves(const DNAVector&amp;)’:<br />./analysis/GraphFromFasta.cc:255:15: warning: suggest parentheses around ‘&amp;&amp;’ within ‘||’ [-Wparentheses]<br />               &amp;&amp; <br />               ^<br />./analysis/GraphFromFasta.cc: In function ‘void report_iworm_graph(std::map&lt;int, Pool&gt;&amp;, std::map&amp;)’:<br />./analysis/GraphFromFasta.cc:631:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />             for (int j = 0; j &lt; adjacent_nodes.size(); j++) {<br />                               ^<br />./analysis/GraphFromFasta.cc: In function ‘int main(int, char**)’:<br />./analysis/GraphFromFasta.cc:1164:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />         for (i=0; i bubble_up_cluster_growth(std::map&amp;, std::map&amp;)’:<br />./GraphFromFasta_MPI.cc:706:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />     for (int i = 0; i &lt; pool_vec.size(); i++) {<br />                       ^<br />./GraphFromFasta_MPI.cc:727:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />         for (int i = 0; i &lt; pool_vec.size(); i++) {<br />                           ^<br />./GraphFromFasta_MPI.cc:834:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />     for (int i = 0; i &lt; pool_vec.size(); i++) {<br />                       ^<br />./GraphFromFasta_MPI.cc: In function ‘void add_unclustered_iworm_contigs(svec&amp;, vecDNAVector&amp;)’:<br />./GraphFromFasta_MPI.cc:1144:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />         for (size_t i = 0; i &lt; p.size(); i++) {<br />                              ^<br />./GraphFromFasta_MPI.cc: In function ‘int main(int, char**)’:<br />./GraphFromFasta_MPI.cc:1453:60: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />             if (iworm_counter % 1000 == 0 || iworm_counter == dna.size()-1) {<br />                                                            ^<br />./GraphFromFasta_MPI.cc:1458:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />             for (j=0; j&lt;=d.isize()-k; j++) {<br />                        ^<br />./GraphFromFasta_MPI.cc:1479:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />                     if (c == i)<br />                           ^<br />./GraphFromFasta_MPI.cc:1503:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />                     if (c == i)<br />                           ^<br />./GraphFromFasta_MPI.cc:2235:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />             for (j=0; j&lt;=d.isize()-k; j++) {<br />                        ^<br />./GraphFromFasta_MPI.cc:2264:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />                     if (c == i) {<br />                           ^<br />./GraphFromFasta_MPI.cc:2359:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />                     if (c == i) {<br />                           ^<br />./GraphFromFasta_MPI.cc:2475:16: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />     for (i=0; i&lt;clustered_pools.isize(); i++) {<br />                ^<br />./GraphFromFasta_MPI.cc:2483:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />         for (size_t j = 0; j &lt; p.size(); j++) {<br />                              ^<br />./GraphFromFasta_MPI.cc:2496:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />         for (size_t j = 0; j &lt; p.size(); j++) {<br />                              ^<br />/bin/rm -f lib_GraphFromFasta_MPI_temp.a<br />ar -qc  lib_GraphFromFasta_MPI_temp.a obj/GraphFromFasta_MPI.o obj/aligns/KmerAlignCore.o obj/analysis/AACodons.o obj/analysis/DNAVector.o obj/analysis/DeBruijnGraph.o obj/analysis/KmerTable.o obj/analysis/NonRedKmerTable.o obj/analysis/sequenceUtil.o obj/analysis/stacktrace.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./GraphFromFasta_MPI<br />g++ -ggdb3    -fopenmp  -o ./GraphFromFasta_MPI  obj/GraphFromFasta_MPI.o -L. -lm -pthread     -l_GraphFromFasta_MPI_temp<br />/bin/rm lib_GraphFromFasta_MPI_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:53 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/IsoformAugment.cc -o obj/analysis/IsoformAugment.o<br />./analysis/IsoformAugment.cc: In function ‘int main(int, char**)’:<br />./analysis/IsoformAugment.cc:87:16: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />     for (j=0; j&lt;matchesLeft.isize(); j++) {<br />                ^<br />./analysis/IsoformAugment.cc:122:16: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />     for (j=0; j&lt;matches.isize(); j++) {<br />                ^<br />/bin/rm -f lib_IsoformAugment_temp.a<br />ar -qc  lib_IsoformAugment_temp.a obj/aligns/KmerAlignCore.o obj/analysis/AACodons.o obj/analysis/DNAVector.o obj/analysis/IsoformAugment.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./IsoformAugment<br />g++ -ggdb3    -fopenmp  -o ./IsoformAugment  obj/analysis/IsoformAugment.o -L. -lm -pthread     -l_IsoformAugment_temp<br />/bin/rm lib_IsoformAugment_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:27:56 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/JoinTransByPairs.cc -o obj/analysis/JoinTransByPairs.o<br />./analysis/JoinTransByPairs.cc: In function ‘int main(int, char**)’:<br />./analysis/JoinTransByPairs.cc:293:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />   for (i=0; i&lt;dna.size(); i++) {<br />              ^<br />./analysis/JoinTransByPairs.cc:341:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />   for (i=0; i&lt;dna.size(); i++) {<br />              ^<br />/bin/rm -f lib_JoinTransByPairs_temp.a<br />ar -qc  lib_JoinTransByPairs_temp.a obj/aligns/KmerAlignCore.o obj/analysis/AACodons.o obj/analysis/DNAVector.o obj/analysis/JoinTransByPairs.o obj/analysis/KmerTable.o obj/analysis/NonRedKmerTable.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./JoinTransByPairs<br />g++ -ggdb3    -fopenmp  -o ./JoinTransByPairs  obj/analysis/JoinTransByPairs.o -L. -lm -pthread     -l_JoinTransByPairs_temp<br />/bin/rm lib_JoinTransByPairs_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:28:00 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/QuantifyGraph.cc -o obj/analysis/QuantifyGraph.o<br />/bin/rm -f lib_QuantifyGraph_temp.a<br />ar -qc  lib_QuantifyGraph_temp.a obj/aligns/KmerAlignCore.o obj/analysis/AACodons.o obj/analysis/DNAVector.o obj/analysis/KmerTable.o obj/analysis/NonRedKmerTable.o obj/analysis/QuantifyGraph.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./QuantifyGraph<br />g++ -ggdb3    -fopenmp  -o ./QuantifyGraph  obj/analysis/QuantifyGraph.o -L. -lm -pthread     -l_QuantifyGraph_temp<br />/bin/rm lib_QuantifyGraph_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:28:03 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/ReadsToTranscripts.cc -o obj/analysis/ReadsToTranscripts.o<br />/bin/rm -f lib_ReadsToTranscripts_temp.a<br />ar -qc  lib_ReadsToTranscripts_temp.a obj/analysis/AACodons.o obj/analysis/DNAVector.o obj/analysis/NonRedKmerTable.o obj/analysis/ReadsToTranscripts.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./ReadsToTranscripts<br />g++ -ggdb3    -fopenmp  -o ./ReadsToTranscripts  obj/analysis/ReadsToTranscripts.o -L. -lm -pthread     -l_ReadsToTranscripts_temp<br />/bin/rm lib_ReadsToTranscripts_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:28:09 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./ReadsToTranscripts_MPI.cc -o obj/ReadsToTranscripts_MPI.o<br />/bin/rm -f lib_ReadsToTranscripts_MPI_temp.a<br />ar -qc  lib_ReadsToTranscripts_MPI_temp.a obj/ReadsToTranscripts_MPI.o obj/analysis/AACodons.o obj/analysis/DNAVector.o obj/analysis/NonRedKmerTable.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./ReadsToTranscripts_MPI<br />g++ -ggdb3    -fopenmp  -o ./ReadsToTranscripts_MPI  obj/ReadsToTranscripts_MPI.o -L. -lm -pthread     -l_ReadsToTranscripts_MPI_temp<br />/bin/rm lib_ReadsToTranscripts_MPI_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:28:14 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./ReadsToTranscripts_MPI_chang.cc -o obj/ReadsToTranscripts_MPI_chang.o<br />/bin/rm -f lib_ReadsToTranscripts_MPI_chang_temp.a<br />ar -qc  lib_ReadsToTranscripts_MPI_chang_temp.a obj/ReadsToTranscripts_MPI_chang.o obj/analysis/AACodons.o obj/analysis/DNAVector.o obj/analysis/NonRedKmerTable.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./ReadsToTranscripts_MPI_chang<br />g++ -ggdb3    -fopenmp  -o ./ReadsToTranscripts_MPI_chang  obj/ReadsToTranscripts_MPI_chang.o -L. -lm -pthread     -l_ReadsToTranscripts_MPI_chang_temp<br />/bin/rm lib_ReadsToTranscripts_MPI_chang_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:28:18 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/RunButterfly.cc -o obj/analysis/RunButterfly.o<br />./analysis/RunButterfly.cc: In member function ‘void JobControl::ClearFiles()’:<br />./analysis/RunButterfly.cc:107:25: warning: ignoring return value of ‘int system(const char*)’, declared with attribute warn_unused_result [-Wunused-result]<br />       system(rm.c_str());<br />                         ^<br />./analysis/RunButterfly.cc: In member function ‘void JobControl::Submit()’:<br />./analysis/RunButterfly.cc:77:27: warning: ignoring return value of ‘int system(const char*)’, declared with attribute warn_unused_result [-Wunused-result]<br />    system(theCmmd.c_str());<br />                           ^<br />./analysis/RunButterfly.cc:85:27: warning: ignoring return value of ‘int system(const char*)’, declared with attribute warn_unused_result [-Wunused-result]<br />    system(theCmmd.c_str());   <br />                           ^<br />/bin/rm -f lib_RunButterfly_temp.a<br />ar -qc  lib_RunButterfly_temp.a obj/analysis/RunButterfly.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./RunButterfly<br />g++ -ggdb3    -fopenmp  -o ./RunButterfly  obj/analysis/RunButterfly.o -L. -lm -pthread     -l_RunButterfly_temp<br />/bin/rm lib_RunButterfly_temp.a<br />g++  -W -Wall -Wno-unused -Wno-deprecated -ansi -pedantic -Wno-long-long -fno-nonansi-builtins -Wctor-dtor-privacy -Wsign-promo -Woverloaded-virtual -Wendif-labels  -O3  -ggdb3 -DMAKE_DATE='"Die Jul  3 11:28:23 CEST 2018  "' -DMAKE_OS_RELEASE='"4.4.0-128-generic"' -DMAKE_RELEASE='"3.0"' -DNEW_MAKEFILE -imacros system/BigFileDefines.h -pthread  -ftemplate-depth-30 -fno-strict-aliasing -mieee-fp -iquote . -ISpines   -fopenmp        -c ./analysis/TranscriptomeFromVaryK.cc -o obj/analysis/TranscriptomeFromVaryK.o<br />./analysis/TranscriptomeFromVaryK.cc: In function ‘int main(int, char**)’:<br />./analysis/TranscriptomeFromVaryK.cc:216:16: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />     for (j=0; j&lt;=d.lsize()-k; j++) {<br />                ^<br />./analysis/TranscriptomeFromVaryK.cc:218:22: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]<br />       for (int x=j; x&lt;j+k; x++) {<br />                      ^<br />/bin/rm -f lib_TranscriptomeFromVaryK_temp.a<br />ar -qc  lib_TranscriptomeFromVaryK_temp.a obj/aligns/KmerAlignCore.o obj/analysis/AACodons.o obj/analysis/DNAVector.o obj/analysis/KmerTable.o obj/analysis/NonRedKmerTable.o obj/analysis/TranscriptomeFromVaryK.o obj/base/ErrorHandling.o obj/base/FileParser.o obj/base/StringUtil.o obj/util/mutil.o<br />./checkLock ./TranscriptomeFromVaryK<br />g++ -ggdb3    -fopenmp  -o ./TranscriptomeFromVaryK  obj/analysis/TranscriptomeFromVaryK.o -L. -lm -pthread     -l_TranscriptomeFromVaryK_temp<br />/bin/rm lib_TranscriptomeFromVaryK_temp.a<br />make[1]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/Chrysalis'<br />cd trinity-plugins &amp;&amp; make trinity_essentials<br />make[1]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins'<br />tar xvf seqtk-trinity.v0.0.2.tar.gz<br />seqtk-trinity-0.0.2/<br />seqtk-trinity-0.0.2/.gitignore<br />seqtk-trinity-0.0.2/LICENSE<br />seqtk-trinity-0.0.2/Makefile<br />seqtk-trinity-0.0.2/README.md<br />seqtk-trinity-0.0.2/khash.h<br />seqtk-trinity-0.0.2/kseq.h<br />seqtk-trinity-0.0.2/seqtk.c<br />seqtk-trinity-0.0.2/testing/<br />seqtk-trinity-0.0.2/testing/newformat_1.fq<br />seqtk-trinity-0.0.2/testing/newformat_2.fq<br />seqtk-trinity-0.0.2/testing/oldformat_1.fq<br />seqtk-trinity-0.0.2/testing/oldformat_2.fq<br />cd seqtk-trinity-0.0.2 &amp;&amp; make<br />make[2]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/seqtk-trinity-0.0.2'<br />gcc -g -Wall -O2 -Wno-unused-function seqtk.c -o seqtk-trinity -lz -lm<br />seqtk.c: In function ‘stk_comp’:<br />seqtk.c:444:16: warning: variable ‘lc’ set but not used [-Wunused-but-set-variable]<br />    int la, lb, lc, na, nb, nc, cnt[11];<br />                ^<br />make[2]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/seqtk-trinity-0.0.2'<br />mv seqtk-trinity-0.0.2/seqtk-trinity ./BIN/.<br />tar -zxvf "ParaFly-0.1.0".tar.gz &amp;&amp; \<br />cd "ParaFly-0.1.0" &amp;&amp; sh ./configure --prefix=`pwd` &amp;&amp; make install &amp;&amp; \<br />cp bin/ParaFly ../BIN/<br />ParaFly-0.1.0/<br />ParaFly-0.1.0/LICENSE<br />ParaFly-0.1.0/Makefile<br />ParaFly-0.1.0/Makefile.am<br />ParaFly-0.1.0/Makefile.in<br />ParaFly-0.1.0/README.md<br />ParaFly-0.1.0/aclocal.m4<br />ParaFly-0.1.0/bin/<br />ParaFly-0.1.0/bin/ParaFly<br />ParaFly-0.1.0/config.h<br />ParaFly-0.1.0/config.h.in<br />ParaFly-0.1.0/config.log<br />ParaFly-0.1.0/config.status<br />ParaFly-0.1.0/configure<br />ParaFly-0.1.0/configure.ac<br />ParaFly-0.1.0/depcomp<br />ParaFly-0.1.0/install-sh<br />ParaFly-0.1.0/missing<br />ParaFly-0.1.0/src/<br />ParaFly-0.1.0/src/.deps/<br />ParaFly-0.1.0/src/.deps/ParaFly.Po<br />ParaFly-0.1.0/src/.deps/argProcessor.Po<br />ParaFly-0.1.0/src/Makefile<br />ParaFly-0.1.0/src/Makefile.am<br />ParaFly-0.1.0/src/Makefile.in<br />ParaFly-0.1.0/src/ParaFly.cpp<br />ParaFly-0.1.0/src/argProcessor.cpp<br />ParaFly-0.1.0/src/argProcessor.hpp<br />ParaFly-0.1.0/stamp-h1<br />ParaFly-0.1.0/test/<br />ParaFly-0.1.0/test/Makefile<br />ParaFly-0.1.0/test/cmds.txt<br />ParaFly-0.1.0/test/rand_exit.pl<br />checking for a BSD-compatible install... /usr/bin/install -c<br />checking whether build environment is sane... yes<br />checking for a thread-safe mkdir -p... /bin/mkdir -p<br />checking for gawk... gawk<br />checking whether make sets $(MAKE)... yes<br />checking for g++... g++<br />checking for C++ compiler default output file name... a.out<br />checking whether the C++ compiler works... yes<br />checking whether we are cross compiling... no<br />checking for suffix of executables... <br />checking for suffix of object files... o<br />checking whether we are using the GNU C++ compiler... yes<br />checking whether g++ accepts -g... yes<br />checking for style of include used by make... GNU<br />checking dependency style of g++... gcc3<br />checking for library containing cos... none required<br />configure: creating ./config.status<br />config.status: creating Makefile<br />config.status: creating src/Makefile<br />config.status: creating config.h<br />config.status: config.h is unchanged<br />config.status: executing depfiles commands<br />make[2]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0'<br />Making install in src<br />make[3]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0/src'<br />g++ -DHAVE_CONFIG_H -I. -I..    -pedantic -fopenmp -Wall -Wextra -Wno-long-long -Wno-deprecated -m64 -g -O2 -MT ParaFly.o -MD -MP -MF .deps/ParaFly.Tpo -c -o ParaFly.o ParaFly.cpp<br />mv -f .deps/ParaFly.Tpo .deps/ParaFly.Po<br />g++ -DHAVE_CONFIG_H -I. -I..    -pedantic -fopenmp -Wall -Wextra -Wno-long-long -Wno-deprecated -m64 -g -O2 -MT argProcessor.o -MD -MP -MF .deps/argProcessor.Tpo -c -o argProcessor.o argProcessor.cpp<br />mv -f .deps/argProcessor.Tpo .deps/argProcessor.Po<br />g++ -pedantic -fopenmp -Wall -Wextra -Wno-long-long -Wno-deprecated -m64 -g -O2   -o ParaFly ParaFly.o argProcessor.o  <br />make[4]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0/src'<br />test -z "/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0/bin" || /bin/mkdir -p "/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0/bin"<br />  /usr/bin/install -c ParaFly '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0/bin'<br />make[4]: Nothing to be done for 'install-data-am'.<br />make[4]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0/src'<br />make[3]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0/src'<br />make[3]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0'<br />make[4]: Entering directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0'<br />make[4]: Nothing to be done for 'install-exec-am'.<br />make[4]: Nothing to be done for 'install-data-am'.<br />make[4]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0'<br />make[3]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0'<br />make[2]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins/ParaFly-0.1.0'<br />ln -sf Trimmomatic-0.36 Trimmomatic<br />make[1]: Leaving directory '/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity-plugins'<br />sh ./util/support_scripts/trinity_install_tests.sh<br />~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~</p>

<p>Performing Unit Tests of Build<br /> <br />~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<br />Inchworm:                has been Installed Properly<br />Chrysalis:               has been Installed Properly<br />QuantifyGraph:           has been Installed Properly<br />GraphFromFasta:          has been Installed Properly<br />ReadsToTranscripts:      has been Installed Properly<br />parafly:                 has been Installed Properly<br />➜  trinityrnaseq-Trinity-v2.6.6 git:(master) ✗<br />➜  trinityrnaseq-Trinity-v2.6.6 git:(master) ✗ ./Trinity</p>

<p>###############################################################################<br />#</p>

<p>     ______  ____   ____  ____   ____  ______  __ __<br />    |      ||    \ |    ||    \ |    ||      ||  |  |<br />    |      ||  D  ) |  | |  _  | |  | |      ||  |  |<br />    |_|  |_||    /  |  | |  |  | |  | |_|  |_||  ~  |<br />      |  |  |    \  |  | |  |  | |  |   |  |  |___, |<br />      |  |  |  .  \ |  | |  |  | |  |   |  |  |     |<br />      |__|  |__|\_||____||__|__||____|  |__|  |____/</p>

<p>#<br />#<br /># Required:<br />#<br />#  --seqType &lt;string&gt;      :type of reads: ('fa' or 'fq')<br />#<br />#  --max_memory       :suggested max memory to use by Trinity where limiting can be enabled. (jellyfish, sorting, etc)<br />#                            provided in Gb of RAM, ie.  '--max_memory 10G'<br />#<br />#  If paired reads:<br />#      --left      :left reads, one or more file names (separated by commas, no spaces)<br />#      --right     :right reads, one or more file names (separated by commas, no spaces)<br />#<br />#  Or, if unpaired reads:<br />#      --single    :single reads, one or more file names, comma-delimited (note, if single file contains pairs, can use flag: --run_as_paired )<br />#<br />#  Or,<br />#      --samples_file          tab-delimited text file indicating biological replicate relationships.<br />#                                   ex.<br />#                                        cond_A    cond_A_rep1    A_rep1_left.fq    A_rep1_right.fq<br />#                                        cond_A    cond_A_rep2    A_rep2_left.fq    A_rep2_right.fq<br />#                                        cond_B    cond_B_rep1    B_rep1_left.fq    B_rep1_right.fq<br />#                                        cond_B    cond_B_rep2    B_rep2_left.fq    B_rep2_right.fq<br />#<br />#                      # if single-end instead of paired-end, then leave the 4th column above empty.<br />#<br />####################################<br />##  Misc:  #########################<br />#<br />#  --SS_lib_type           :Strand-specific RNA-Seq read orientation.<br />#                                   if paired: RF or FR,<br />#                                   if single: F or R.   (dUTP method = RF)<br />#                                   See web documentation.<br />#<br />#  --CPU                      :number of CPUs to use, default: 2<br />#  --min_contig_length        :minimum assembled contig length to report<br />#                                   (def=200)<br />#<br />#  --long_reads            :fasta file containing error-corrected or circular consensus (CCS) pac bio reads<br />#                                   (** note: experimental parameter **, this functionality continues to be under development)<br />#<br />#  --genome_guided_bam     :genome guided mode, provide path to coordinate-sorted bam file.<br />#                                   (see genome-guided param section under --show_full_usage_info)<br />#<br />#  --jaccard_clip                  :option, set if you have paired reads and<br />#                                   you expect high gene density with UTR<br />#                                   overlap (use FASTQ input file format<br />#                                   for reads).<br />#                                   (note: jaccard_clip is an expensive<br />#                                   operation, so avoid using it unless<br />#                                   necessary due to finding excessive fusion<br />#                                   transcripts w/o it.)<br />#<br />#  --trimmomatic                   :run Trimmomatic to quality trim reads<br />#                                        see '--quality_trimming_params' under full usage info for tailored settings.<br />#                                  <br />#<br />#  --no_normalize_reads            :Do *not* run in silico normalization of reads. Defaults to max. read coverage of 50.<br />#                                       see '--normalize_max_read_cov' under full usage info for tailored settings.<br />#                                       (note, as of Sept 21, 2016, normalization is on by default)<br />#     <br />#  --no_distributed_trinity_exec   :do not run Trinity phase 2 (assembly of partitioned reads), and stop after generating command list.<br />#<br />#<br />#  --output                :name of directory for output (will be<br />#                                   created if it doesn't already exist)<br />#                                   default( your current working directory: "/home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/trinity_out_dir" <br />#                                    note: must include 'trinity' in the name as a safety precaution! )<br />#             <br />#  --workdir               :where Trinity phase-2 assembly computation takes place (defaults to --output setting).<br />#                                  (can set this to a node-local drive or RAM disk)     <br />#  <br />#  --full_cleanup                  :only retain the Trinity fasta file, rename as ${output_dir}.Trinity.fasta<br />#<br />#  --cite                          :show the Trinity literature citation<br />#<br />#  --verbose                       :provide additional job status info during the run.<br />#<br />#  --version                       :reports Trinity version (Trinity-v2.6.6) and exits.<br />#<br />#  --show_full_usage_info          :show the many many more options available for running Trinity (expert usage).<br />#<br />#<br />###############################################################################<br />#<br />#  *Note, a typical Trinity command might be:<br />#<br />#        Trinity --seqType fq --max_memory 50G --left reads_1.fq  --right reads_2.fq --CPU 6<br />#<br />#<br />#    and for Genome-guided Trinity:<br />#<br />#        Trinity --genome_guided_bam rnaseq_alignments.csorted.bam --max_memory 50G<br />#                --genome_guided_max_intron 10000 --CPU 6<br />#<br />#     see: /home/urbe/Tools/trinityrnaseq-Trinity-v2.6.6/sample_data/test_Trinity_Assembly/<br />#          for sample data and 'runMe.sh' for example Trinity execution<br />#<br />#     For more details, visit: http://trinityrnaseq.github.io<br />#<br />###############################################################################</p>
]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40940/consed-a-finishing-package-bam-file-viewer-assembly-editor-autofinish-autoreport-autoedit-and-align-reads-to-reference-sequence</guid>
	<pubDate>Fri, 07 Feb 2020 07:16:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40940/consed-a-finishing-package-bam-file-viewer-assembly-editor-autofinish-autoreport-autoedit-and-align-reads-to-reference-sequence</link>
	<title><![CDATA[Consed--A Finishing Package (BAM File Viewer, Assembly Editor, Autofinish, Autoreport, Autoedit, and Align Reads To Reference Sequence)]]></title>
	<description><![CDATA[<ul>
<li>Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types</li>
<li>Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence in targeted regions.</li>
<li>Consed is compatible with Newbler, Cross_match, Phrap, MIRA, Velvet and PCAP output.</li>
<li>Quickly takes the user to each variant site for viewing (also available as an automated report)</li>
<li>Overview of assembly can help detect and fix misassemblies</li>
<li>Editing time reduced by the program's ability to pin-point problem areas</li>
<li>Editing is guided by error probabilities</li>
</ul><p>Address of the bookmark: <a href="http://www.phrap.org/consed/consed.html" rel="nofollow">http://www.phrap.org/consed/consed.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/42633/protocol-for-de-novo-genome-assembly-using-illumina-reads</guid>
	<pubDate>Sat, 16 Jan 2021 21:42:11 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/42633/protocol-for-de-novo-genome-assembly-using-illumina-reads</link>
	<title><![CDATA[Protocol for De novo Genome Assembly using Illumina Reads]]></title>
	<description><![CDATA[<p>In this protocol, we address and describe the de novo assembly method for small to medium-sized genomes.</p><p><strong>What is de novo genome assembly?<br /></strong>The method of taking a large number of short DNA sequences and placing them back together to create a reflection of the original chromosomes from which the DNA originated relates to genome assembly. No previous knowledge of the source DNA sequence length, structure or composition is inferred by De novo genome assemblies. The DNA of the target organism is split up into millions of tiny parts and read on a sequencing computer in a genome sequencing experiment. Depending on the sequencing system used, these "reads" range from 20 to 1000 nucleotide base pairs (bp) in length. Usually, length reads of 36 - 150 bp are produced for Illumina style short read sequencing. These reads can be either &ldquo;single ended&rdquo; as described above or &ldquo;paired end.&rdquo;</p><p><strong>Why genome assembly?</strong><br />In basic research into why and how they live, as well as in applied topics, identifying the DNA sequence of an organism is useful. Awareness of a DNA sequence may be useful in virtually any biological research because of the relevance of DNA to living things. For example, it may be used in medicine to classify, diagnose and eventually improve genetic disorder therapies. Similarly, pathogens study can lead to treatments for infectious diseases.</p><p><strong>Raw NGS data</strong><br />Reads can be saved as a Fasta file as text or in a FastQ file with their attributes.&nbsp;FastQ is the most common read file format since this is what the Illumina sequencing pipeline creates. This will henceforth be the subject of our conversation.</p><p><strong>In a nutshell the protocol:</strong> <br />Get the sequence file(s) read from the sequencing machine (s). <br />Look at the readings - have an idea of what you have and what the standard is like. <br />If required, raw data cleanup/quality trimming. <br />Choose an adequate parameter set for assembly. <br />Assemble the data into scaffolds/contigs. <br />Examine the assembly performance and determine the efficiency of the assembly.</p><p><strong>Read Quality Control:</strong><br />Check the qualiy with fastQC.<br />Script<br />https://bioinformaticsonline.com/snippets/view/42540/install-fastqc-using-conda</p><p>Quality trimming/cleanup of read files.<br />This function trims adapters, barcodes and other contaminants from the reads.<br />Script<br />https://bioinformaticsonline.com/snippets/view/42542/trimmomatic-command</p><p><strong>Genome Assembly:</strong><br />The object of this portion of the protocol is to explain the method of assembling the reads trimmed by quality into draft contigs.</p><blockquote><p>spades.py -1 illumina_R1.fastq.gz -2 illumina_R2.fastq.gz --careful --cov-cutoff auto -o result_of_spades_assembly_all_illumina</p></blockquote><p>A significant range of short-read assemblers are available. Everyone with strengths and disadvantages of their own. <br /><em>Some of the assemblers available include:</em><br />Velvet<br />SOAP-denovo<br />MIRA<br />ALLPATHS</p><p>Next step is to assess the suitability and what to do with a draft package of contiguous details for the remainder of the study now.&nbsp;Few stuff you can note about the contigs you just created:&nbsp;They're the draft Contigs. Any mis-assemblies can occur.</p><p><strong>Mis-assembly checking and assembly metric tools:</strong><br />QUAST - Quality assessment tool for genome assembly http://bioinf.spbau.ru/quast<br />Mauve assembly metrics - http://code.google.com/p/ngopt/wiki/How_To_Score_Genome_Assemblies_with_Mauve<br />InGAP-SV - https://sites.google.com/site/nextgengenomics/ingap and http://ingap.sourceforge.net/<br />inGAP is also useful for finding structural variants between genomes from read mappings.</p><p><strong>Genome finishing tools:</strong><br />Semi-automated gap fillers:<br />Gap filler - http://www.baseclear.com/landingpages/basetools-a-wide-range-of-bioinformatics-solutions/gapfiller/</p><p>IMAGE (V2) - http://sourceforge.net/apps/mediawiki/image2/index.php?title=Main_Page</p><p><strong>Genome visualisers and editors:</strong><br />Artemis - http://www.sanger.ac.uk/resources/software/artemis/<br />IGV - http://www.broadinstitute.org/igv/</p><p><strong>Automated and semi automated annotation tools:</strong><br />Prokka - https://github.com/tseemann/prokka<br />RAST - http://www.nmpdr.org/FIG/wiki/view.cgi/FIG/RapidAnnotationServer<br />JCVI Annotation Service - http://www.jcvi.org/cms/research/projects/annotation-service/</p><p><strong>Frequent command use for the analysis are at:</strong></p><p>https://bioinformaticsonline.com/blog/view/38765/list-of-tools-frequently-used-while-genome-assembly<br />https://bioinformaticsonline.com/pages/view/42275/frequent-parameters-for-bioinformatics-tools</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/40226/bioinformatics-training-courses-at-rasa-lsi</guid>
	<pubDate>Wed, 06 Nov 2019 00:30:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/40226/bioinformatics-training-courses-at-rasa-lsi</link>
	<title><![CDATA[Bioinformatics Training Courses At RASA LSI]]></title>
	<description><![CDATA[<p>RASA conducts comprehensive Life Science skill development training courses in Pune, India for working professionals, researchers, students and job-seeker. The trainings are crafted meticulously, covering different modules of courses such as Bioinformatics course, In silico Drug Discovery course, Next Generation Sequence data analysis course, Molecular Biology &amp; Life&nbsp;science software development course wherein you learn from industry leaders&nbsp;how to apply these skills in life science &amp; have a command over software developing process &nbsp;by using various methodologies. We conduct in-class training and instructor-led live online classes worldwide, along with corporate and skill development training worldwide.</p><p>Workshops are conducted in regular intervals on Drug Designing, Protein Modeling and Simulation, Chemoinformatics, Bioinformatics etc.The workshops are highly beneficial for working professionals, students, researcher for enhancements of the skills in short duration.</p>]]></description>
	<dc:creator>RASA Life Sciences</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43292/bioinformatics-scientist-production-bioinformatics-south-san-francisco-ca</guid>
  <pubDate>Thu, 19 Aug 2021 08:45:24 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist, Production Bioinformatics @ South San Francisco, CA]]></title>
  <description><![CDATA[
<p>wist is looking for a Bioinformatics Scientist to join our Production Bioinformatics Team. You will work alongside research scientists, software engineers and data scientists to further deliver on our mission to expand access to best-in-class synthetic biology and next-generation sequencing applications. You will be developing and engineering tools to better evaluate and build hardened, production quality pipelines, optimize data quality, and automate lab and bioinformatics processes. Our ideal candidate is an organized problem solver with a background in developing and building novel production-quality bioinformatics tools and packages. Equally excellent communication skills and a proven ability to work independently are required.</p>

<p>More at https://boards.greenhouse.io/twistbioscience/jobs/3135495?gh_src=9ecc0b941us</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/7674/useful-publications-and-websites-for-deep-sequencing-data-analysis</guid>
	<pubDate>Sun, 29 Dec 2013 22:30:45 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/7674/useful-publications-and-websites-for-deep-sequencing-data-analysis</link>
	<title><![CDATA[Useful Publications and Websites for Deep Sequencing Data Analysis]]></title>
	<description><![CDATA[<h3>Global overview papers</h3><p>Next generation quantitative genetics in plants. Jim&eacute;nez-G&oacute;mez, Frontiers in Plant Science 2:77, 2011 <span style="text-decoration: underline;"><a href="http://www.frontiersin.org/Plant_Physiology/10.3389/fpls.2011.00077/full">Full Text</a> </span><em>[equally relevant to animal and microbial systems]</em></p><p>Sense from sequence reads: methods for alignment and assembly. Flicek &amp; Birney, Nat Methods 6(11 Suppl):S6-S12, 2009. <a href="http://www.nature.com/nmeth/journal/v6/n11s/full/nmeth.1376.html"><span style="text-decoration: underline;">Full Text</span></a></p><h3>Library construction and experimental design</h3><p>Statistical design and analysis of RNA sequencing data. Auer &amp; Doerge, Genetics 185(2):405-16, 2010. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2881125"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Biases in Illumina transcriptome sequencing caused by random hexamer priming. Hansen et al., Nucleic Acids Res. 38(12): e131, 2010. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896536"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries. Aird et al, Genome Biology 12:R18, 2011 <a href="http://genomebiology.com/2011/12/2/R18"><span style="text-decoration: underline;">Full Text</span></a></p><p>Amplification-free Illumina sequencing-library preparation facilitates improved mapping and assembly of GC-biased genomes. Kozarewa et al, Nature Methods 6(4):291-5, 2009 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2664327/"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Cost-effective, high-throughput DNA sequencing libraries for multiplexed target capture. Rohland &amp; Reich, Genome Research 22(5): 939&ndash;946. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3337438/"><span style="text-decoration: underline;">PubMedCentral</span></a></p><h3>Data formats, data management, and alignment software tools<span style="text-decoration: underline;"> </span></h3><p>The Sequence Alignment/Map format and SAMtools. Li et al, Bioinformatics 25(16):2078-9, 2009 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723002"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>SAM format specification <a href="http://samtools.sourceforge.net/SAM1.pdf"><span style="text-decoration: underline;">file</span></a></p><p>Efficient storage of high throughput sequencing data using reference-based compression. Fritz et al, Genome Res 21(5):734-40, 2011. <a href="http://genome.cshlp.org/content/21/5/734.long"><span style="text-decoration: underline;">Full Text</span></a></p><p>Compression of DNA sequence reads in FASTQ format. Deorowicz &amp; Grabowski, Bioinformatics 27(6):860-2, 2011. <a href="http://www.ncbi.nlm.nih.gov/pubmed/21252073"><span style="text-decoration: underline;">PubMed</span></a></p><p>Fast and accurate short read alignment with Burrows-Wheeler transform. Li &amp; Durbin, Bioinformatics 25(14):1754-60, 2009. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2705234"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Improving SNP discovery by base alignment quality. Li H, Bioinformatics 27(8):1157-8, 2011. <a href="http://www.ncbi.nlm.nih.gov/pubmed/21320865"><span style="text-decoration: underline;">PubMed</span></a></p><p>BEDTools: a flexible suite of utilities for comparing genomic features. Quinlan and Hall, Bioinformatics 26:841-842, 2010. <a href="http://bioinformatics.oxfordjournals.org/content/26/6/841.full.pdf+html"><span style="text-decoration: underline;">Publisher Website</span></a></p><h3>Data quality assessment, filtering, and correction</h3><p>SolexaQA: At-a-glance quality assessment of Illumina second-generation sequencing data. Cox et al, BMC Bioinformatics 11:485, 2010. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956736"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>TileQC: a system for tile-based quality control of Solexa data. Dolan &amp; Denver, BMC Bioinformatics 9:250, 2008 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2443380"><span style="text-decoration: underline;">PubMedCentral</span></a> <em>[requires a reference sequence]</em></p><p>Quake: quality-aware detection and correction of sequencing errors. Kelley et al, Genome Biol 11(11):R116, 2010. <a href="http://www.ncbi.nlm.nih.gov/pubmed/21114842"> <span style="text-decoration: underline;">PubMed</span></a></p><p>FastQC: a quality control tool for high-throughput sequence data. <a href="http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc/"><span style="text-decoration: underline;">Home Page</span></a></p><p>FASTX-toolkit: FASTQ/A short-reads pre-processing tools <a href="http://hannonlab.cshl.edu/fastx_toolkit/"><span style="text-decoration: underline;">Home Page</span></a></p><p>Reference-free validation of short read data. Schr&ouml;der et al, PLoS One 5(9):e12681, 2010. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943903"> <span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Correction of sequencing errors in a mixed set of reads. Salmela, Bioinformatics 26(10):1284, 2010. <a href="http://bioinformatics.oxfordjournals.org/content/26/10/1284.long"><span style="text-decoration: underline;">Full Text</span></a> <em>[includes error correction of SOLiD reads in colorspace]</em></p><p>Repeat-aware modeling and correction of short read errors. Yang et al, BMC Bioinformatics 12(Supp1):S52, 2011 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3044310"> <span style="text-decoration: underline;">PubMedCentral</span></a> <em>[requires a reference sequence]</em></p><p>HiTEC: accurate error correction in high-throughput sequencing data. Ilie et al, Bioinformatics 27(3):295, 2011 <a href="http://bioinformatics.oxfordjournals.org/content/27/3/295.long"><span style="text-decoration: underline;">Full Text</span></a></p><p>Error correction of high-throughput sequencing datasets with non-uniform coverage. Medvedev et al., Bioinformatics 27(13):i137-41, 2011. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117386"><span style="text-decoration: underline;">PubMedCentral</span></a></p><h3>De novo assembly<span style="text-decoration: underline;"> </span></h3><p>Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Zerbino &amp; Birney, Genome Res 18(5):821-9, 2008. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2336801">u&gt;PubMedCentral</a></p><p>Assembly of large genomes using second-generation sequencing. Schatz et al, Genome Res 20(9):1165-73, 2010. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2928494"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>High-quality draft assemblies of mammalian genomes from massively parallel sequence data. Gnerre et al, PNAS 108(4): 1513-18, 2011 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3029755"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Genome assembly has a major impact on gene content: a comparison of annotation in two <em>Bos taurus </em> assemblies. Florea&nbsp; et al., PLoS One 6(6):e21400, 2011. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3120881/"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data. Carver et al, Bioinformatics 28(4):464 - 469, 2012 <span style="text-decoration: underline;"><a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278759/">PubMedCentral</a></span></p><p>Efficient de novo assembly of large genomes using compressed data structures. Simpson &amp; Durbin, Genome Research 22:549-556, 2012 <span style="text-decoration: underline;"><a href="http://genome.cshlp.org/content/22/3/549.full">Full Text</a></span> <em>[Describes the String Graph Assembler (SGA), which assembled a human genome in less than 6 days using 54 Gb of RAM and a 123-processor compute cluster for calculation of an FM-index of the 1.2 billion reads]</em></p><p>Readjoiner: a fast and memory efficient string graph-based sequence assembler. Gonnella &amp; Kurtz, BMC Bioinformatics 13: 82, 2012 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3507659"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Assemblathon 1: A competitive assessment of de novo short read assembly methods. Earl et al, Genome Research 21:2224-2241, 2011 <span style="text-decoration: underline;"><a href="http://genome.cshlp.org/content/early/2011/09/16/gr.126599.111.full.pdf+html">Full Text</a></span></p><h3>Chromatin immunoprecipation analysis: ChIP-seq</h3><p>ChIP-seq: advantages and challenges of a maturing technology. Park, Nat Rev Genet. 10:669-80, 2009 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191340/"><span style="text-decoration: underline;">PubMed</span></a></p><p>ChIP-seq and Beyond: new and improved methodologies to detect and characterize protein-DNA interactions. Furey, Nat Rev Genet 13: 840&ndash;852, 2012 <a href="http://www.nature.com/nrg/journal/v13/n12/full/nrg3306.html"> <span style="text-decoration: underline;">Publisher Web Site</span></a></p><p>MuMoD: a Bayesian approach to detect multiple modes of protein&ndash;DNA binding from genome-wide ChIP data. Narlikar, Nucleic Acids Res 41:21&ndash;32, 2013 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592440/"><span style="text-decoration: underline;">PubMed</span></a></p><h3>Transcriptome analysis</h3><h3>Assembly and comparison to genome</h3><p>Full-length transcriptome assembly from RNA-Seq data without a reference genome. Grabherr et al, Nature Biotechnology 29:644 - 652, 2011. <a href="http://www.ncbi.nlm.nih.gov/pubmed/21572440"><span style="text-decoration: underline;">PubMed</span></a> <em>[The software is called <a href="http://trinityrnaseq.sourceforge.net/"><span style="text-decoration: underline;">Trinity</span></a>, and is available on Sourceforge.]</em></p><p>Comprehensive analysis of RNA-Seq data reveals extensive RNA editing in a human transcriptome. Peng et al, Nature Biotechnology 30:253 - 260, 2012. <span style="text-decoration: underline;"><a href="http://www.ncbi.nlm.nih.gov/pubmed/22327324">PubMed</a></span> <em>[Several comments on this paper question whether the reported differences are in fact evidence of editing or are simply sequencing errors - the authors stand by their conclusions, but the controversy demonstrates the importance of robust data analysis methods.] </em></p><p>Optimization of de novo transcriptome assembly from next-generation sequencing data. Surget-Groba &amp; Montoya-Burgos, Genome Res 20(10):1432-40, 2010. <a href="http://genome.cshlp.org/content/20/10/1432.long"><span style="text-decoration: underline;">Full Text</span></a></p><p>Rnnotator: an automated <em>de novo</em> transcriptome assembly pipeline from stranded RNA-Seq reads. Martin et al, BMC Genomics 11:663, 2010 <a href="http://www.biomedcentral.com/1471-2164/11/663"><span style="text-decoration: underline;">Full Text</span></a></p><p><em>De novo</em> assembly and analysis of RNA-seq data. Robertson et al, Nature Methods 7:909-912, 2010 <a href="http://www.nature.com/nmeth/journal/v7/n11/full/nmeth.1517.html"><span style="text-decoration: underline;">Full Text</span></a> <em>[describes Trans-ABySS, a pipeline to use the ABySS parallel assembler for de novo transcriptome analysis]</em></p><h3>Differential expression analysis</h3><p>R-SAP: a multi-threading computational pipeline for the characterization of high-throughput RNA-sequencing data. Mittal &amp; McDonald, Nucleic Acids Res, 2012 <span style="text-decoration: underline;"><a href="http://nar.oxfordjournals.org/content/early/2012/01/28/nar.gks047.long">Full Text</a></span></p><p>Targeted RNA sequencing reveals the deep complexity of the human transcriptome. Mercer et al, Nature Biotechnology 30:99 - 104, 2012 <span style="text-decoration: underline;"><a href="http://www.nature.com/nbt/journal/v30/n1/full/nbt.2024.html"> Publisher Website</a></span></p><p>Differential gene and transcript expression analysis of RNA-Seq experiments with TopHat and Cufflinks. Trapnell et al, Nature Protocols 7:562 - 578, 2012 <span style="text-decoration: underline;"><a href="http://www.nature.com/nprot/journal/v7/n3/full/nprot.2012.016.html"> Publisher Website</a></span></p><p>Characterization and improvement of RNA-Seq precision in quantitative transcript expression profiling. Łabaj et al, Bioinformatics 27:i383 - i391, 2011 <span style="text-decoration: underline;"><a href="http://bioinformatics.oxfordjournals.org/content/27/13/i383.full.pdf+html"> Full Text</a></span></p><p>Improving RNA-Seq expression estimates by correcting for fragment bias. Roberts et al, Genome Biol 12:R22, 2011 <span style="text-decoration: underline;"><a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129672/">PubMed Central</a></span></p><p>Cloud-scale RNA-sequencing differential expression analysis with Myrna. Langmead et al, Genome Biol 11:R83, 2010 <a href="http://genomebiology.com/2010/11/8/R83"><span style="text-decoration: underline;">Full Text</span></a></p><p>From RNA-seq reads to differential expression results. Oshlack et al, Genome Biol 11(12):220, 2010 <a href="http://genomebiology.com/content/11/12/220"><span style="text-decoration: underline;">Full Text</span></a></p><p>DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Wang et al., Bioinformatics. 26(1):136-8. 2010 <a href="http://www.ncbi.nlm.nih.gov/pubmed/19855105"><span style="text-decoration: underline;"> PubMed</span></a></p><p>DEseq: Differential expression analysis for sequence count data. Anders and Huber, Genome Biology 11:R106, 2010 <a href="http://genomebiology.com/2010/11/10/R106"><span style="text-decoration: underline;">Full Text</span></a></p><p>edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Robinson et al., Bioinformatics 26(1):139-40 2010 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2796818"> <span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Two-stage Poisson model for testing RNA-seq data. Auer and Doerge, SAGMB 10(1), article 26 <a href="http://www.bepress.com/sagmb/vol10/iss1/art26/"><span style="text-decoration: underline;">Full Text</span></a></p><p>Experimental design, preprocessing, normalization and differential expression analysis of small RNA sequencing experiments. McCormick et al., Silence2(1):2, 2011 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3055805"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>RNA-Seq gene expression estimation with read mapping uncertainty. Li et al, Bioinformatics 26:493-500, 2010 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820677">PubMedCentral</a> <em>[describes the RSEM software package]</em></p><h3>Comparing genomes and assemblies; variant detection<span style="text-decoration: underline;"> </span></h3><p>Versatile and open software for comparing large genomes. Kurtz et al, Genome Biol (5(2):R12, 2004. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC395750"><span style="text-decoration: underline;">PubMedCentral</span></a> <em>[describes the MUMmer software for full-genome alignment &amp; comparisons]</em></p><p>Searching for SNPs with cloud computing. Langmead et al, Genome Biol 10(11):R134, 2009 <a href="http://genomebiology.com/content/10/11/R134"><span style="text-decoration: underline;">Full Text</span></a></p><p>Calling SNPs without a reference sequence. Ratan et al, BMC Bioinformatics 11:130, 2010 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851604"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Microindel detection in short-read sequence data. Krawitz et al, Bioinformatics 26(6):722-9, 2010. <a href="http://bioinformatics.oxfordjournals.org/content/26/6/722.long"><span style="text-decoration: underline;">Full Text</span></a></p><p>vipR: variant identification in pooled DNA using R. Altmann et al., Bioinformatics 27: i77-i84, 2011. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117388"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Geoseq: a tool for dissecting deep-sequencing datasets. Gurtowski et al, BMC Bioinformatics 11:506, 2010. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2972303/"><span style="text-decoration: underline;">PubMedCentral</span></a> <em>[Geoseq is a web service that allows searching deep sequencing datasets with a reference sequence of a gene of interest]</em></p><p>Detecting and annotating genetic variations using the HugeSeq pipeline. Lam et al, Nature Biotechnology 30:226 - 229, 2012 <span style="text-decoration: underline;"><a href="http://www.nature.com/nbt/journal/v30/n3/full/nbt.2134.html">Publisher Website</a></span>, <span style="text-decoration: underline;"><a href="http://hugeseq.snyderlab.org/">Home Page</a></span></p><p>Genome-wide LORE1 retrotransposon mutagenesis and high-throughput insertion detection in <em>Lotus japonicus</em>. Urbański et al, Plant J 64:731-741, 2012. <span style="text-decoration: underline;"><a href="http://onlinelibrary.wiley.com/doi/10.1111/j.1365-313X.2011.04827.x/abstract">Publisher Website</a></span> <em>[This paper describes a 2-dimensional pooling strategy with barcoding to allow use of Illumina sequencing to screen for retrotransposon insertion mutations, and includes a software package called FSTpoolit for analysis of the resulting sequence reads.]</em></p><h3>Genotyping by sequencing</h3><p>Genome-wide genetic marker discovery and genotyping using next-generation sequencing. Davey et al., Nat Rev Genet 12(7):499-510, 2011 <a href="http://www.ncbi.nlm.nih.gov/pubmed/21681211"><span style="text-decoration: underline;">PubMed</span></a> <em>[A review of methods available at the time]</em></p><p>A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. Elshire et al., PLoS One 6(5):e19379, 2011. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3087801"><span style="text-decoration: underline;">Full Text</span></a></p><p>Development of high-density genetic maps for barley and wheat using a novel two-enzyme genotyping-by-sequencing approach. Poland et al., PLoS One 7(2): e32253, 2012. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289635/"><span style="text-decoration: underline;">Full Text</span></a></p><p>Double digest RADseq: an inexpensive method for de novo SNP discovery and genotyping in model and non-model species. Peterson et al, PLoS One 7(5):e37135, . 2012. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3365034/"><span style="text-decoration: underline;">Full Text</span></a></p><p>Imputation of unordered markers and the impact on genomic selection accuracy. Rutkowski et al, G3 3(3):427-39, 2013. <a href="http://www.g3journal.org/content/3/3/427.long"><span style="text-decoration: underline;">Full Text</span></a></p><p>Diversity Arrays Technology (DArT) and next-generation sequencing combined: genome-wide, high-throughput, highly informative genotyping for molecular breeding of <em>Eucalyptus</em>. Sansaloni et al., BMC Proceedings 5(Suppl 7):P54, 2011 <span style="text-decoration: underline;"><a href="http://www.biomedcentral.com/1753-6561/5/S7/P54">Full Text</a></span></p><p>High-throughput genotyping by whole-genome resequencing. Huang et al., Genome Res 19(6):1068-76, 2009. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694477"><span style="text-decoration: underline;">Full Text</span></a></p><p>Multiplexed shotgun genotyping for rapid and efficient genetic mapping. Andolfatto et al. Genome Res 21(4):610-7, 2011. <a href="http://genome.cshlp.org/content/21/4/610.long"><span style="text-decoration: underline;">Full Text</span></a></p><h3>Restriction-site Associated DNA (RAD) markers</h3><p>Rapid SNP discovery and genetic mapping using sequenced RAD markers. Baird et al, PLoS One 3(10):e3376, 2008 <span style="text-decoration: underline;"><a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0003376">Full Text</a></span></p><p>Linkage mapping and comparative genomics using next-generation RAD sequencing of a non-model organism. Baxter et al., PLoS One 6(4):e19315, 2011. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3082572"><span style="text-decoration: underline;">Full Text</span></a></p><p>Genome evolution and meiotic maps by massively parallel DNA sequencing: spotted gar, an outgroup for the teleost genome duplication. Amores et al, Genetics 188(4):799-808, 2011. <a href="http://www.ncbi.nlm.nih.gov/pubmed/21828280"><span style="text-decoration: underline;"> PubMed</span></a></p><p>Construction and application for QTL analysis of a Restriction-site Associated DNA (RAD) linkage map in barley. Chutimanitsakun et al, BMC Genomics 4; 12:4, 2011. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3023751"><span style="text-decoration: underline;">Full Text</span></a></p><p>RAD tag sequencing as a source of SNP markers in <em>Cynara cardunculus </em>L. Scaglione et al., BMC Genomics 13:3, 2012. <span style="text-decoration: underline;"><a href="http://www.biomedcentral.com/1471-2164/13/3">Full Text</a></span></p><p>Paired-end RAD-seq for de novo assembly and marker design without available reference. Willing et al., Bioinformatics 27(16):2187-93, 2011. <a href="http://bioinformatics.oxfordjournals.org/content/27/16/2187.long"><span style="text-decoration: underline;">Publisher Website</span></a></p><p>Local de novo assembly of RAD paired-end contigs using short sequencing reads. Etter et al., PLOS ONE 6(4): e18561, 2011. <a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0018561"><span style="text-decoration: underline;">Full Text</span></a></p><p>Stacks: building and genotyping loci de novo from short-read sequences. Catchen et al., G3: Genes, Genomes, Genetics, 1:171-182, 2011. <span style="text-decoration: underline;"> Full Text</span>, <a href="http://creskolab.uoregon.edu/stacks/"><span style="text-decoration: underline;">Home Page</span></a></p><p>Rainbow: an integrated tool for efficient clustering and assembling RAD-seq reads. Chong et al, Bioinformatics 28(21):2732-7, 2012. <a href="http://bioinformatics.oxfordjournals.org/content/28/21/2732.long"> <span style="text-decoration: underline;">Publisher Website</span></a></p><p>UK RAD Sequencing Wiki page, with bibliography and RADTools software download <a href="https://www.wiki.ed.ac.uk/display/RADSequencing/Home"><span style="text-decoration: underline;">Home Page</span></a></p><h3>Workspace environments</h3><p><span style="text-decoration: underline;">Papers</span></p><p>Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Goecks et al, Genome Biol 11(8):R86, 2010 <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945788"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>Galaxy Cloudman: Delivering compute clusters. BMC Bioinformatics 11(Suppl. 12):S4, 2010 <a href="http://www.biomedcentral.com/content/pdf/1471-2105-11-S12-S4.pdf"><span style="text-decoration: underline;">Full Text</span></a></p><p><a href="http://www.broadinstitute.org/gsa/wiki/index.php/The_Genome_Analysis_Toolkit"><span style="text-decoration: underline;">The Genome Analysis Toolkit</span></a>: a MapReduce framework for analyzing next-generation DNA sequencing data. McKenna et al, Genome Res 20(9):1297-303, 2010. <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2928508"><span style="text-decoration: underline;">PubMedCentral</span></a></p><p>A framework for variation discovery and genotyping using next-generation DNA sequencing data. DePristo et al., Nat Genet 43(5):491-8, 2011. <a href="http://www.ncbi.nlm.nih.gov/pubmed/21478889"><span style="text-decoration: underline;"> PubMed</span></a></p><p><span style="text-decoration: underline;">Online resources</span></p><p>The <a href="http://cran.r-project.org/"><span style="text-decoration: underline;">R statistical computing</span></a> environment includes<a href="http://www.bioconductor.org/"><span style="text-decoration: underline;"> Bioconductor</span></a>, a specialized set of tools for analysis of microarray and high-throughput sequencing data. Introductory materials from on-line or short workshops are widely available online; examples are <span style="text-decoration: underline;"><a href="http://bioconductor.org/help/course-materials/2012/Evomics2012/Bioconductor-tutorial.pdf">Evomics2012 Bioconductor-tutorial.pdf</a></span>, and <a href="http://bcb.dfci.harvard.edu/%7Eaedin/courses/Bioconductor/"><span style="text-decoration: underline;">Intro to Bioconductor</span></a>. Materials from an advanced course on high-throughput genetic data analysis are at <span style="text-decoration: underline;"><a href="http://bioconductor.org/help/course-materials/2012/SeattleFeb2012/">Seattle 2012 materials</a></span>. Thomas Girke of UC-Riverside has written a very complete set of manuals describing the use of R and Bioconductor for analysis of genomic datasets, available at <a href="http://manuals.bioinformatics.ucr.edu/home/R_BioCondManual">R and Bioconductor Manuals</a>. <br /> <a href="http://cran.r-project.org/manuals.html"><span style="text-decoration: underline;">Manuals</span></a> and contributed <a href="http://cran.r-project.org/other-docs.html"><span style="text-decoration: underline;">documentation</span></a> for R are available at the R-project.org website, and video tutorials are also available on Youtube; those posted by Tutorlol are brief, clear, and to the point. <br /> Materials from a series of mini-courses in R taught in 2010 at UCLA are available:</p><ul>
<li><a href="http://scc.stat.ucla.edu/page_attachments/0000/0141/10S-basicR.pdf">Intro to programming and graphics</a></li>
<li><a href="http://scc.stat.ucla.edu/page_attachments/0000/0143/S10_RProgII.pdf">Data manipulation and functions</a></li>
<li><a href="http://scc.stat.ucla.edu/page_attachments/0000/0185/Graphics_course.pdf">Graphics for exploratory data analysis</a></li>
<li><a href="http://scc.stat.ucla.edu/page_attachments/0000/0147/20100503_IntroStats.pdf">Introductory statistics</a></li>
<li><a href="http://scc.stat.ucla.edu/page_attachments/0000/0188/reg_R_1_09S_slides.pdf">Linear regression</a></li>
</ul><p><a href="http://a-little-book-of-r-for-bioinformatics.readthedocs.org/en/latest/"> <span style="text-decoration: underline;">A Little Book of R for Bioinformatics</span></a> is an on-line resource with information and exercises to provide practice in bioinformatics analysis of DNA sequences and other biological data in R. <br /> Many books on specific topics in R programming are also available through Amazon or other vendors.</p><h3>Cloud computing resources</h3><p>The case for cloud computing in genome informatics. Lincoln Stein, Genome Biol. 11(5):207, 2010 <a href="http://www.ncbi.nlm.nih.gov/pubmed/20441614"><span style="text-decoration: underline;">Pubmed</span></a></p><p>Galaxy Cloudman: delivering cloud compute clusters. Afgan et al, BMC Bioinformatics <span style="text-decoration: underline;">11</span>(Suppl 12):S4, 2010 <a href="http://www.biomedcentral.com/1471-2105/11/S12/S4"><span style="text-decoration: underline;">Full Text</span></a></p><p><a href="http://cloudbiolinux.com/">CloudBioLinux</a> is an open-source project that provides a bioinformatics Linux system for cloud computing, pre-configured with a variety of software tools installed and ready to use.</p><p>A <a href="https://github.com/chapmanb/cloudbiolinux/blob/master/doc/intro/gettingStarted_CloudBioLinux.pdf?raw=true"><span style="text-decoration: underline;">tutorial</span></a> on getting started with CloudBioLinux on the Amazon Web Services Elastic Compute Cloud (EC2)</p><p><a href="http://userwww.service.emory.edu/%7Eeafgan/content/ppt/EnisAfgan_BOSC_2010.pdf"><span style="text-decoration: underline;">Deploying Galaxy on the Cloud</span></a>  slides from a presentation by Enis Afgan (Emory University) at the <br /> &nbsp;Bioinformatics Open Source Conference in Boston, July 2010</p><p>A <a href="http://screencast.g2.bx.psu.edu/cloud/"><span style="text-decoration: underline;"> screencast</span></a> that provides a step-by-step guide to starting a Galaxy cluster in the EC2 environment</p><p>A <a href="https://bitbucket.org/galaxy/galaxy-central/wiki/cloud"><span style="text-decoration: underline;">webpage</span></a> that has the same information in text form, and is the basis for the screencast</p><p>The iPlant Collaborative, an NSF-funded project to create computational resources for plant biology research, provides access to cloud computing resources through <span style="text-decoration: underline;"><a href="http://www.iplantcollaborative.org/discover/atmosphere">Atmosphere</a></span></p><p>SeqWare Query Engine: storing and searching sequence data in the cloud. OConnor et al, BMC Bioinformatics <strong>11</strong>(Suppl 12)<strong>:</strong>S2, 2010 <a href="http://www.biomedcentral.com/1471-2105/11/S12/S2"><span style="text-decoration: underline;">Full Text</span></a></p><p>An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics. Taylor, BMC Bioinformatics <strong>11</strong>(Suppl 12)<strong>:</strong>S1, 2010 <a href="http://www.biomedcentral.com/1471-2105/11/S12/S1"><span style="text-decoration: underline;">Full Text</span></a></p><h3>Links to Linux command-line tutorials and resources</h3><p>Tutorials for AWK, a powerful tool for handling data tables</p><ul>
<li>A set of <a href="http://people.bu.edu/scottm/AWK.NOTES"><span style="text-decoration: underline;">awk notes</span></a> from Boston University</li>
<li>Bruce Barnett's <a href="http://www.grymoire.com/Unix/Awk.html"><span style="text-decoration: underline;">awk tutorial</span></a></li>
<li>Greg Goebel's <a href="http://www.vectorsite.net/tsawk.html"><span style="text-decoration: underline;">awk tutorial</span></a></li>
<li><a href="http://teaching.software-carpentry.org/2013/01/16/1433/"><span style="text-decoration: underline;">Executing an awk command from R</span></a> to simplify data exploratory analysis, from Lex Nederbragt</li>
</ul><p>Tutorials for bash shell scripting</p><ul>
<li>A <a href="http://www.linuxconfig.org/bash-scripting-tutorial"><span style="text-decoration: underline;">tutorial</span></a> at linuxconfig.org</li>
<li>A <a href="http://www.hypexr.org/bash_tutorial.php"><span style="text-decoration: underline;">Getting Started With Bash</span></a> tutorial at hypexr.org</li>
<li>Mendel Cooper's <a href="http://tldp.org/LDP/abs/html/"><span style="text-decoration: underline;">Advanced Bash Shell-Scripting Guide</span></a></li>
</ul><p>Tutorials for sed, the command-line stream editor</p><ul>
<li>A <a href="http://www.panix.com/%7Eelflord/unix/sed.html"><span style="text-decoration: underline;">tutorial</span></a> at Rutgers</li>
<li>Peteris Krumins claims to have the <a href="http://www.catonmat.net/blog/worlds-best-introduction-to-sed/"><span style="text-decoration: underline;"> World's Best Introduction to Sed</span></a>; take a look and judge for yourself.</li>
<li>Bruce Barnett's <a href="http://www.grymoire.com/Unix/Sed.html"><span style="text-decoration: underline;">sed tutorial</span></a>.</li>
</ul><h3>Links to other useful sites</h3><p>The<a href="http://seqanswers.com/"><span style="text-decoration: underline;"> SEQanswers</span></a> online community has forums on several topics related to sequencing; the bioinformatics forum is the most active.</p><p>The SEQanswers <span style="text-decoration: underline;"><a href="http://seqanswers.com/wiki/Software">Software Wiki</a></span> is a list of software for analysis of sequencing data</p><p><a href="http://biostar.stackexchange.com/">Biostar</a> is another online community for questions and answers on bioinformatics and computational genomics.</p><p>Information on file formats used by the University of California - Santa Cruz Genome Browser is on the <a href="http://genome.ucsc.edu/FAQ/FAQformat"><span style="text-decoration: underline;"> FAQ list</span></a></p><p>A manual for the Integrated Genome Browser visualization tool is <a href="http://wiki.transvar.org/confluence/display/igbman/Home"><span style="text-decoration: underline;">here</span></a></p><p>Course materials for a short course entitled <a href="http://bioconductor.org/help/course-materials/2010/SeattleIntro/"><span style="text-decoration: underline;">Introduction to R and Bioconductor</span></a>, held in Seattle in Dec 2010</p><p><a href="http://great.stanford.edu/"><span style="text-decoration: underline;">Genomic Regions Enrichment of Annotations Tool</span></a> - A web service to test for over-representation of specific ontology categories among genes near ChIP-seq peaks</p><p><a href="http://www.animalgenome.org/bioinfo/resources/nextgensoft.html"><span style="text-decoration: underline;">Next-gen-seq software</span></a> - a list of software packages, both commercial and open-source, related to analysis of deep sequencing datasets</p><p><a href="http://www.cbcb.umd.edu/software/"><span style="text-decoration: underline;">Software</span></a> from the Center for Bioinformatics and Computational Biology, University of Maryland - many useful programs, all open-source</p><p><a href="http://bioinformatics.psb.ugent.be/plaza/"><span style="text-decoration: underline;"> PLAZA</span></a>: a comparative genomics resource to study gene and genome evolution in plants; described by Proost et al, Plant Cell 21:3718, 2010 <a href="http://www.plantcell.org/content/21/12/3718.full"><span style="text-decoration: underline;">Full Text</span></a></p><p>The European Bioinformatics Institute provides tools <a href="http://www.ebi.ac.uk/Tools/rcloud/"><span style="text-decoration: underline;">ArrayExpressHTS</span><span style="text-decoration: underline;"> and R-Cloud</span></a> for analysis of transcriptome data</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39606/amity-university-bioinformatics-summer-program-kolkata</guid>
	<pubDate>Tue, 11 Jun 2019 21:27:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39606/amity-university-bioinformatics-summer-program-kolkata</link>
	<title><![CDATA[Amity University Bioinformatics Summer Program - Kolkata]]></title>
	<description><![CDATA[<p>Registrations are now open for the 2019 Summer Bioinformatics Training program at Amity University, Kolkata. The program will focus on introductory topics for life science students. We will review important history, topics and challenges bioinformatics can help address in the context of basic research, discovery and industry.</p><p>Read more: https://edu.t-bio.info/amity-university-summer-bioinformatics-program-registrations-are-open/</p>]]></description>
	<dc:creator>eliabrodsky</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37576/lrcstats-a-tool-for-evaluating-long-reads-correction-methods</guid>
	<pubDate>Wed, 22 Aug 2018 11:05:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37576/lrcstats-a-tool-for-evaluating-long-reads-correction-methods</link>
	<title><![CDATA[LRCstats: a tool for evaluating long reads correction methods]]></title>
	<description><![CDATA[<p><span>LRCstats is an open-source pipeline for benchmarking DNA long read correction algorithms for long reads outputted by third generation sequencing technology such as machines produced by Pacific Biosciences. The reads produced by third generation sequencing technology, as the name suggests, are longer in length than reads produced by next generation sequencing technologies, such as those produced by Illumina. However, long reads are plagued by high error rates, which can cause issues in downstream analysis. Long read correction algorithms reduce the error rate of long reads either through self-correcting methods or using accurate, short reads outputted by next generation sequencing technologies to correct long reads.</span></p><p>Address of the bookmark: <a href="https://github.com/cchauve/lrcstats" rel="nofollow">https://github.com/cchauve/lrcstats</a></p>]]></description>
	<dc:creator>Aaryan Lokwani</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34292/automatic-filtering-trimming-error-removing-and-quality-control-for-fastq-data</guid>
	<pubDate>Mon, 13 Nov 2017 05:10:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34292/automatic-filtering-trimming-error-removing-and-quality-control-for-fastq-data</link>
	<title><![CDATA[Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data]]></title>
	<description><![CDATA[<p><span>Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data</span><br><code>AfterQC</code><span>&nbsp;can simply go through all fastq files in a folder and then output three folders:&nbsp;</span><span>good</span><span>,&nbsp;</span><span>bad</span><span>&nbsp;and&nbsp;</span><span>QC</span><span>&nbsp;folders, which contains good reads, bad reads and the QC results of each fastq file/pair.</span><br><span>Currently it supports processing data from HiSeq 2000/2500/3000/4000, Nextseq 500/550, MiniSeq...and other&nbsp;</span><a href="http://support.illumina.com/help/SequencingAnalysisWorkflow/Content/Vault/Informatics/Sequencing_Analysis/CASAVA/swSEQ_mCA_FASTQFiles.htm">Illumina 1.8 or newer formats</a></p><p>Address of the bookmark: <a href="https://github.com/OpenGene/AfterQC" rel="nofollow">https://github.com/OpenGene/AfterQC</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36758/pbalign-maps-pacbio-reads-to-reference-sequences-and-saves-alignments-to-a-bam-file</guid>
	<pubDate>Thu, 24 May 2018 10:06:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36758/pbalign-maps-pacbio-reads-to-reference-sequences-and-saves-alignments-to-a-bam-file</link>
	<title><![CDATA[pbalign: maps PacBio reads to reference sequences and saves alignments to a BAM file]]></title>
	<description><![CDATA[pbalign aligns PacBio reads to reference sequences, filters aligned reads according to user-specific filtering criteria, and converts the output to either the SAM format or PacBio Compare HDF5 (e.g., .cmp.h5) format. The output Compare HDF5 file will be compatible with Quiver if --forQuiver option is specified.<p>Address of the bookmark: <a href="https://github.com/PacificBiosciences/pbalign" rel="nofollow">https://github.com/PacificBiosciences/pbalign</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

</channel>
</rss>