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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/2041?offset=150</link>
	<atom:link href="https://bioinformaticsonline.com/related/2041?offset=150" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<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/opportunity/view/27540/research-associate-bioinformatics-at-manit</guid>
  <pubDate>Thu, 26 May 2016 02:20:58 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics at MANIT]]></title>
  <description><![CDATA[
<p>Research Associate Jobs opportunity in Maulana Azad National Institute of Technology (MANIT) on contract basis<br />Project : “Screening of Anti-venom potential of medicinal plants from Tribal region of Madhya Pradesh"<br />No. of Post : 01</p>

<p>Qualification : The minimum qualifications are : Ph.D in Bioinformatics/ Biotechnology or allied branches with atleast two publication in SCI journals.<br />Fellowship : The consolidated emoluments of Rs.36, 000/ PM+HRA+MA as per CSIR rules.</p>

<p>How to apply<br />Applications (in prescribed attached format and supporting documents) to be received in the Dr. Rahul Shrivastava, Principal Investigator (CSIR Project), Department of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal – 462003 (MP) on or before 7th June 2016.</p>

<p>More at http://www.web.manit.ac.in/Year%202016/Recruitment%20Contract%20Faculty/Biological/Advertisement%20for%20Antivenome%20project%202.pdf</p>
]]></description>
</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/opportunity/view/27701/assistant-professor-bioinformatics-teaching-assistant-at-gujarat-university</guid>
  <pubDate>Sat, 04 Jun 2016 16:04:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor Bioinformatics / Teaching Assistant at Gujarat University]]></title>
  <description><![CDATA[
<p>Assistant Professor Bioinformatics / Teaching Assistant Jobs recruitment in Gujarat University<br />Departments :</p>

<p>M.Sc. Bioinformatics Climate Change and Impacts Management<br />M.Sc. Biotechnology and Clinical Research</p>

<p>Department of Computer Science (Rollwala Computer Centre)<br />Appointment will be on purely contract basis for 11 months on consolidated salary. Reservation as per rules<br /> <br />How to apply<br />All the candidate are here by required to fill up the application form and given to concern Department, Gujarat University, Ahmedabad (Form can be submitted personally or thorough post/courier.) Candidates are supposed to attach the self attested photocopies of their required testimonials along with application form. Last date of receipt of application is 10/06/2016.</p>

<p>More http://www.gujaratuniversity.org.in/web/NWD/NewsEvents/1700_Recruitments%20at%20Gujarat%20University.asp</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27806/blobology</guid>
	<pubDate>Mon, 13 Jun 2016 10:18:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27806/blobology</link>
	<title><![CDATA[Blobology]]></title>
	<description><![CDATA[<p><span>Tools for making blobplots or Taxon-Annotated-GC-Coverage plots (TAGC plots) to visualise the contents of genome assembly data sets as a QC step</span></p>
<p>Blaxter Lab, Institute of Evolutionary Biology, University of Edinburgh</p>
<p><span>Goal</span>: To create blobplots or Taxon-Annotated-GC-Coverage plots (TAGC plots) to visualise the contents of genome assembly data sets as a QC step.</p>
<p>This repository accompanies the paper:<br><span>Blobology: exploring raw genome data for contaminants, symbionts and parasites using taxon-annotated GC-coverage plots.</span>&nbsp;<em>Sujai Kumar, Martin Jones, Georgios Koutsovoulos, Michael Clarke, Mark Blaxter</em><br>(submitted 2013-10-01 to&nbsp;<em>Frontiers in Bioinformatics and Computational Biology special issue : Quality assessment and control of high-throughput sequencing data</em>).</p>
<p>It contains bash/perl/R scripts for running the analysis presented in the paper to create a preliminary assembly, and to create and collate GC content, read coverage and taxon annotation for the preliminary assembly, which can be visualised, such as Figure 2a from the paper showing TAGC plots/blobplots for&nbsp;<em>Caenorhabditis</em>&nbsp;sp. 5:&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/blaxterlab/blobology" rel="nofollow">https://github.com/blaxterlab/blobology</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/bookmarks/view/28809/kissplice</guid>
	<pubDate>Tue, 16 Aug 2016 08:34:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28809/kissplice</link>
	<title><![CDATA[KisSplice]]></title>
	<description><![CDATA[<p>KisSplice is a software that enables to analyse RNA-seq data with or without a reference genome. It is an exact local transcriptome assembler that allows to identify SNPs, indels and alternative splicing events. It can deal with an arbitrary number of biological conditions, and will quantify each variant in each condition. It has been tested on Illumina datasets of up to 1G reads. Its memory consumption is around 5Gb for 100M reads.</p>
<p>KisSplice is not a full-length transcriptome assembler. This means that it will output the variable regions of the transcripts, not reconstruct them entirely.</p>
<p>KisSplice comes as a workflow, with several possible post-treatments meant to facilitate the analysis of the results. The choice of the post-treatment depends on the availability of a reference genome/transcriptome and on the need to perform a differential analysis, as summarised in the following table.</p><p>Address of the bookmark: <a href="http://kissplice.prabi.fr/" rel="nofollow">http://kissplice.prabi.fr/</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>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28835/a5-miseq</guid>
	<pubDate>Thu, 18 Aug 2016 04:05:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28835/a5-miseq</link>
	<title><![CDATA[A5-miseq]]></title>
	<description><![CDATA[<p><span><span>_A5-miseq_ is a pipeline for assembling DNA sequence data generated on the Illumina sequencing platform. This README will take you through the steps necessary for running _A5-miseq_. </span></span></p>
<p><span>Point to note:</span></p>
<p><span>There are many situations where A5-miseq is not the right tool for the job. In order to produce accurate results, A5-miseq requires Illumina data with certain characteristics. A5-miseq will likely not work well with Illumina reads shorter than around 80nt, or reads where the base qualities are low in all or most reads before 60nt. A5-miseq assumes it is assembling homozygous haploid genomes. Use a different assembler for metagenomes and heterozygous diploid or polyploid organisms. Use a different assembler if a tool like FastQC reports your data quality is dubious. You have been warned! Datasets consisting solely of unpaired reads are not currently supported.</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/ngopt/" rel="nofollow">https://sourceforge.net/projects/ngopt/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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