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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/40204?offset=720</link>
	<atom:link href="https://bioinformaticsonline.com/related/40204?offset=720" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26537/destruct</guid>
	<pubDate>Mon, 29 Feb 2016 17:34:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26537/destruct</link>
	<title><![CDATA[destruct]]></title>
	<description><![CDATA[<p>Destruct is a tool for joint prediction of rearrangement breakpoints from single or multiple tumour samples.</p>
<p>More at&nbsp;https://bitbucket.org/dranew/destruct</p><p>Address of the bookmark: <a href="https://bitbucket.org/dranew/destruct" rel="nofollow">https://bitbucket.org/dranew/destruct</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26571/pattern-searching-in-a-single-genome</guid>
	<pubDate>Mon, 07 Mar 2016 05:02:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26571/pattern-searching-in-a-single-genome</link>
	<title><![CDATA[Pattern Searching in a Single Genome]]></title>
	<description><![CDATA[<p>Pattern searching holds much importance for biologists , for the understanding of DNA ( and its functionality) can be more than a matter of satisfying curiosity , but also give answers to many issuess uchas medical conditions . However,there are a number of ways of searching with in a single chromosome.</p><p>Address of the bookmark: <a href="https://www.stats.ox.ac.uk/__data/assets/pdf_file/0018/5373/LintonFinalReport.pdf" rel="nofollow">https://www.stats.ox.ac.uk/__data/assets/pdf_file/0018/5373/LintonFinalReport.pdf</a></p>]]></description>
	<dc:creator>Aasha</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26925/reapr-a-universal-tool-for-genome-assembly-evaluation</guid>
	<pubDate>Wed, 06 Apr 2016 18:26:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26925/reapr-a-universal-tool-for-genome-assembly-evaluation</link>
	<title><![CDATA[REAPR: a universal tool for genome assembly evaluation]]></title>
	<description><![CDATA[<p>REAPR is a tool that evaluates the accuracy of a genome assembly using mapped paired end reads, without the use of a reference genome for comparison. It can be used in any stage of an assembly pipeline to automatically break incorrect scaffolds and flag other errors in an assembly for manual inspection. It reports mis-assemblies and other warnings, and produces a new broken assembly based on the error calls.</p>
<p>The software requires as input an assembly in FASTA format and paired reads mapped to the assembly in a BAM file. Mapping information such as the fragment coverage and insert size distribution is analysed to locate mis-assemblies. REAPR works best using mapped read pairs from a large insert library (at least 1000bp). Additionally, if a short insert Illumina library is also available, REAPR can combine this with the large insert library in order to score each base of the assembly.</p>
<p>http://www.sanger.ac.uk/science/tools/reapr</p><p>Address of the bookmark: <a href="https://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-5-r47" rel="nofollow">https://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-5-r47</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/27046/desai-lab</guid>
  <pubDate>Thu, 21 Apr 2016 10:21:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[Desai Lab]]></title>
  <description><![CDATA[
<p>Evolutionary Dynamics and Population Genetics</p>

<p>Natural selection and other evolutionary forces lead to particular patterns of evolutionary dynamics, and they leave characteristic signatures on the genetic variation within populations.  We use a combination of theory and experiments to study the dynamics and population genetics of natural selection in asexual populations such as microbes and viruses. </p>

<p>We use both theory and experiments to study evolutionary dynamics and population genetics, particularly in situations where natural selection is pervasive.</p>

<p>http://desailab.oeb.harvard.edu/home</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/27412/navin-lab</guid>
  <pubDate>Wed, 18 May 2016 16:40:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[Navin Lab]]></title>
  <description><![CDATA[
<p>NAvin laboratory has pioneered the development of single cell sequencing technologies.  They apply these tools to study complex biological processes that occur in human cancers including tumor initation, clonal evolution, invasion, metastasis and chemoresistance.  These processes have previously been difficult to study with genomic technologies using bulk tissues</p>

<p>More at http://www.navinlab.com/navinlab/home.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27465/stand-alone-programs-for-bioinformatician</guid>
	<pubDate>Sat, 21 May 2016 22:50:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27465/stand-alone-programs-for-bioinformatician</link>
	<title><![CDATA[Stand-alone programs for Bioinformatician]]></title>
	<description><![CDATA[<p>This directory contains applications for stand-alone use, built specifically for a Linux 64-bit machine.</p>
<p>For help on the bigBed and bigWig applications see:<br>http://genome.ucsc.edu/goldenPath/help/bigBed.html<br>http://genome.ucsc.edu/goldenPath/help/bigWig.html</p>
<p>View the file 'FOOTER' to see the usage statement for each of the applications.</p><p>Address of the bookmark: <a href="http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/" rel="nofollow">http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27685/biodbnet</guid>
	<pubDate>Thu, 02 Jun 2016 11:11:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27685/biodbnet</link>
	<title><![CDATA[BioDBnet]]></title>
	<description><![CDATA[<p><span>Database to Database Conversions</span> </p>
<p>db2db allows for conversions of identifiers from one database to other database identifiers or annotations. To use db2db select the input type of your data, changing the input type automatically changes the output options to the ones specific for the input selected. Then select one or more output types and add your identifiers in the ID list box. Set the remove duplicate values to 'No' if you do not want duplicates to be removed. Clicking on submit then returns a table of your inputs matched against all the outputs selected in the exact order as entered. Results can be limited to a particular taxon by entering it's <a href="https://biodbnet-abcc.ncifcrf.gov/tools/orgTaxon.php">Taxon ID</a>. The performance will vary widely depending on the number of outputs and the options selected. Conversions to a single output with the default options should complete in a few seconds</p><p>Address of the bookmark: <a href="https://biodbnet-abcc.ncifcrf.gov/db/db2db.php" rel="nofollow">https://biodbnet-abcc.ncifcrf.gov/db/db2db.php</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27839/lorma-a-tool-for-correcting-sequencing-errors-in-long-reads-such-those-produced-by-pacific-biosciences-sequencing-machines</guid>
	<pubDate>Wed, 15 Jun 2016 17:18:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27839/lorma-a-tool-for-correcting-sequencing-errors-in-long-reads-such-those-produced-by-pacific-biosciences-sequencing-machines</link>
	<title><![CDATA[LoRMA: a tool for correcting sequencing errors in long reads such those produced by Pacific Biosciences sequencing machines]]></title>
	<description><![CDATA[<p>LoRMA is a tool for correcting sequencing errors in long reads such those produced by Pacific Biosciences sequencing machines.</p>
<p>Publication:</p>
<ul>
<li>L. Salmela, R. Walve, E. Rivals, and E. Ukkonen: Accurate selfcorrection of errors in long reads using de Bruijn graphs. Accepted to RECOMB-Seq 2016.</li>
</ul>
<p>Download:</p>
<ul>
<li><a href="https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/LoRMA-0.3.tar.gz">LoRMA 0.3 source files</a></li>
<li><a href="https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/README.txt">README</a></li>
</ul><p>Address of the bookmark: <a href="https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/" rel="nofollow">https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27850/clusterprofiler</guid>
	<pubDate>Thu, 16 Jun 2016 18:57:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27850/clusterprofiler</link>
	<title><![CDATA[clusterProfiler]]></title>
	<description><![CDATA[<p>statistical analysis and visulization of functional profiles for genes and gene clusters<br><br>Bioconductor version: Release (3.3)<br><br>This package implements methods to analyze and visualize functional profiles (GO and KEGG) of gene and gene clusters.<br><br>Author: Guangchuang Yu &lt;guangchuangyu at gmail.com&gt; with contributions from Li-Gen Wang and Giovanni Dall'Olio.<br><br>Maintainer: Guangchuang Yu &lt;guangchuangyu at gmail.com&gt;<br><br>Citation (from within R, enter citation("clusterProfiler")):<br><br>Yu G, Wang L, Han Y and He Q (2012). &ldquo;clusterProfiler: an R package for comparing biological themes among gene clusters.&rdquo; OMICS: A Journal of Integrative Biology, 16(5), pp. 284-287.<br>Installation<br><br>To install this package, start R and enter:<br><br>## try http:// if https:// URLs are not supported<br>source("https://bioconductor.org/biocLite.R")<br>biocLite("clusterProfiler")</p>
<p>https://www.bioconductor.org/packages/devel/bioc/vignettes/clusterProfiler/inst/doc/clusterProfiler.html</p><p>Address of the bookmark: <a href="https://www.bioconductor.org/packages/devel/bioc/vignettes/clusterProfiler/inst/doc/clusterProfiler.html" rel="nofollow">https://www.bioconductor.org/packages/devel/bioc/vignettes/clusterProfiler/inst/doc/clusterProfiler.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/27965/cheatsheet-for-linux</guid>
	<pubDate>Wed, 22 Jun 2016 07:55:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/27965/cheatsheet-for-linux</link>
	<title><![CDATA[Cheatsheet for Linux !!]]></title>
	<description><![CDATA[<p>Linux Commands Cheat Sheet<br /><br />&nbsp;&nbsp;&nbsp; File System<br /><br />&nbsp;&nbsp;&nbsp; ls &mdash; list items in current directory<br /><br />&nbsp;&nbsp;&nbsp; ls -l &mdash; list items in current directory and show in long format to see perimissions, size, an modification date<br /><br />&nbsp;&nbsp;&nbsp; ls -a &mdash; list all items in current directory, including hidden files<br /><br />&nbsp;&nbsp;&nbsp; ls -F &mdash; list all items in current directory and show directories with a slash and executables with a star<br /><br />&nbsp;&nbsp;&nbsp; ls dir &mdash; list all items in directory dir<br /><br />&nbsp;&nbsp;&nbsp; cd dir &mdash; change directory to dir<br /><br />&nbsp;&nbsp;&nbsp; cd .. &mdash; go up one directory<br /><br />&nbsp;&nbsp;&nbsp; cd / &mdash; go to the root directory<br /><br />&nbsp;&nbsp;&nbsp; cd ~ &mdash; go to to your home directory<br /><br />&nbsp;&nbsp;&nbsp; cd - &mdash; go to the last directory you were just in<br /><br />&nbsp;&nbsp;&nbsp; pwd &mdash; show present working directory<br /><br />&nbsp;&nbsp;&nbsp; mkdir dir &mdash; make directory dir<br /><br />&nbsp;&nbsp;&nbsp; rm file &mdash; remove file<br /><br />&nbsp;&nbsp;&nbsp; rm -r dir &mdash; remove directory dir recursively<br /><br />&nbsp;&nbsp;&nbsp; cp file1 file2 &mdash; copy file1 to file2<br /><br />&nbsp;&nbsp;&nbsp; cp -r dir1 dir2 &mdash; copy directory dir1 to dir2 recursively<br /><br />&nbsp;&nbsp;&nbsp; mv file1 file2 &mdash; move (rename) file1 to file2<br /><br />&nbsp;&nbsp;&nbsp; ln -s file link &mdash; create symbolic link to file<br /><br />&nbsp;&nbsp;&nbsp; touch file &mdash; create or update file<br /><br />&nbsp;&nbsp;&nbsp; cat file &mdash; output the contents of file<br /><br />&nbsp;&nbsp;&nbsp; less file &mdash; view file with page navigation<br /><br />&nbsp;&nbsp;&nbsp; head file &mdash; output the first 10 lines of file<br /><br />&nbsp;&nbsp;&nbsp; tail file &mdash; output the last 10 lines of file<br /><br />&nbsp;&nbsp;&nbsp; tail -f file &mdash; output the contents of file as it grows, starting with the last 10 lines<br /><br />&nbsp;&nbsp;&nbsp; vim file &mdash; edit file<br /><br />&nbsp;&nbsp;&nbsp; alias name 'command' &mdash; create an alias for a command<br />&nbsp;&nbsp;&nbsp; System<br /><br />&nbsp;&nbsp;&nbsp; shutdown &mdash; shut down machine<br /><br />&nbsp;&nbsp;&nbsp; reboot &mdash; restart machine<br /><br />&nbsp;&nbsp;&nbsp; date &mdash; show the current date and time<br /><br />&nbsp;&nbsp;&nbsp; whoami &mdash; who you are logged in as<br /><br />&nbsp;&nbsp;&nbsp; finger user &mdash; display information about user<br /><br />&nbsp;&nbsp;&nbsp; man command &mdash; show the manual for command<br /><br />&nbsp;&nbsp;&nbsp; df &mdash; show disk usage<br /><br />&nbsp;&nbsp;&nbsp; du &mdash; show directory space usage<br /><br />&nbsp;&nbsp;&nbsp; free &mdash; show memory and swap usage<br /><br />&nbsp;&nbsp;&nbsp; whereis app &mdash; show possible locations of app<br /><br />&nbsp;&nbsp;&nbsp; which app &mdash; show which app will be run by default<br />&nbsp;&nbsp;&nbsp; Process Management<br /><br />&nbsp;&nbsp;&nbsp; ps &mdash; display your currently active processes<br /><br />&nbsp;&nbsp;&nbsp; top &mdash; display all running processes<br /><br />&nbsp;&nbsp;&nbsp; kill pid &mdash; kill process id pid<br /><br />&nbsp;&nbsp;&nbsp; kill -9 pid &mdash; force kill process id pid<br />&nbsp;&nbsp;&nbsp; Permissions<br /><br />&nbsp;&nbsp;&nbsp; ls -l &mdash; list items in current directory and show permissions<br /><br />&nbsp;&nbsp;&nbsp; chmod ugo file &mdash; change permissions of file to ugo - u is the user's permissions, g is the group's permissions, and o is everyone else's permissions. The values of u, g, and o can be any number between 0 and 7.<br /><br />&nbsp;&nbsp;&nbsp; 7 &mdash; full permissions<br /><br />&nbsp;&nbsp;&nbsp; 6 &mdash; read and write only<br /><br />&nbsp;&nbsp;&nbsp; 5 &mdash; read and execute only<br /><br />&nbsp;&nbsp;&nbsp; 4 &mdash; read only<br /><br />&nbsp;&nbsp;&nbsp; 3 &mdash; write and execute only<br /><br />&nbsp;&nbsp;&nbsp; 2 &mdash; write only<br /><br />&nbsp;&nbsp;&nbsp; 1 &mdash; execute only<br /><br />&nbsp;&nbsp;&nbsp; 0 &mdash; no permissions<br /><br />&nbsp;&nbsp;&nbsp; chmod 600 file &mdash; you can read and write - good for files<br /><br />&nbsp;&nbsp;&nbsp; chmod 700 file &mdash; you can read, write, and execute - good for scripts<br /><br />&nbsp;&nbsp;&nbsp; chmod 644 file &mdash; you can read and write, and everyone else can only read - good for web pages<br /><br />&nbsp;&nbsp;&nbsp; chmod 755 file &mdash; you can read, write, and execute, and everyone else can read and execute - good for programs that you want to share<br />&nbsp;&nbsp;&nbsp; Networking<br /><br />&nbsp;&nbsp;&nbsp; wget file &mdash; download a file<br /><br />&nbsp;&nbsp;&nbsp; curl file &mdash; download a file<br /><br />&nbsp;&nbsp;&nbsp; scp user@host:file dir &mdash; secure copy a file from remote server to the dir directory on your machine<br /><br />&nbsp;&nbsp;&nbsp; scp file user@host:dir &mdash; secure copy a file from your machine to the dir directory on a remote server<br /><br />&nbsp;&nbsp;&nbsp; scp -r user@host:dir dir &mdash; secure copy the directory dir from remote server to the directory dir on your machine<br /><br />&nbsp;&nbsp;&nbsp; ssh user@host &mdash; connect to host as user<br /><br />&nbsp;&nbsp;&nbsp; ssh -p port user@host &mdash; connect to host on port as user<br /><br />&nbsp;&nbsp;&nbsp; ssh-copy-id user@host &mdash; add your key to host for user to enable a keyed or passwordless login<br /><br />&nbsp;&nbsp;&nbsp; ping host &mdash; ping host and output results<br /><br />&nbsp;&nbsp;&nbsp; whois domain &mdash; get information for domain<br /><br />&nbsp;&nbsp;&nbsp; dig domain &mdash; get DNS information for domain<br /><br />&nbsp;&nbsp;&nbsp; dig -x host &mdash; reverse lookup host<br /><br />&nbsp;&nbsp;&nbsp; lsof -i tcp:1337 &mdash; list all processes running on port 1337<br />&nbsp;&nbsp;&nbsp; Searching<br /><br />&nbsp;&nbsp;&nbsp; grep pattern files &mdash; search for pattern in files<br /><br />&nbsp;&nbsp;&nbsp; grep -r pattern dir &mdash; search recursively for pattern in dir<br /><br />&nbsp;&nbsp;&nbsp; grep -rn pattern dir &mdash; search recursively for pattern in dir and show the line number found<br /><br />&nbsp;&nbsp;&nbsp; grep -r pattern dir --include='*.ext &mdash; search recursively for pattern in dir and only search in files with .ext extension<br /><br />&nbsp;&nbsp;&nbsp; command | grep pattern &mdash; search for pattern in the output of command<br /><br />&nbsp;&nbsp;&nbsp; find file &mdash; find all instances of file in real system<br /><br />&nbsp;&nbsp;&nbsp; locate file &mdash; find all instances of file using indexed database built from the updatedb command. Much faster than find<br /><br />&nbsp;&nbsp;&nbsp; sed -i 's/day/night/g' file &mdash; find all occurrences of day in a file and replace them with night - s means substitude and g means global - sed also supports regular expressions<br />&nbsp;&nbsp;&nbsp; Compression<br /><br />&nbsp;&nbsp;&nbsp; tar cf file.tar files &mdash; create a tar named file.tar containing files<br /><br />&nbsp;&nbsp;&nbsp; tar xf file.tar &mdash; extract the files from file.tar<br /><br />&nbsp;&nbsp;&nbsp; tar czf file.tar.gz files &mdash; create a tar with Gzip compression<br /><br />&nbsp;&nbsp;&nbsp; tar xzf file.tar.gz &mdash; extract a tar using Gzip<br /><br />&nbsp;&nbsp;&nbsp; gzip file &mdash; compresses file and renames it to file.gz<br /><br />&nbsp;&nbsp;&nbsp; gzip -d file.gz &mdash; decompresses file.gz back to file<br />&nbsp;&nbsp;&nbsp; Shortcuts<br /><br />&nbsp;&nbsp;&nbsp; ctrl+a &mdash; move cursor to beginning of line<br /><br />&nbsp;&nbsp;&nbsp; ctrl+f &mdash; move cursor to end of line<br /><br />&nbsp;&nbsp;&nbsp; alt+f &mdash; move cursor forward 1 word<br /><br />&nbsp;&nbsp;&nbsp; alt+b &mdash; move cursor backward 1 word</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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