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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27113?offset=1260</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37993/platypus-a-haplotype-based-variant-caller-for-next-generation-sequence-data</guid>
	<pubDate>Thu, 25 Oct 2018 06:14:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37993/platypus-a-haplotype-based-variant-caller-for-next-generation-sequence-data</link>
	<title><![CDATA[Platypus: A Haplotype-Based Variant Caller For Next Generation Sequence Data]]></title>
	<description><![CDATA[<p><strong>Platypus</strong><span>&nbsp;is a tool designed for efficient and accurate variant-detection in high-throughput sequencing data. By using local realignment of reads and local assembly it achieves both high sensitivity and high specificity. Platypus can detect SNPs, MNPs, short indels, replacements and (using the assembly option) deletions up to several kb. It has been extensively tested on&nbsp;</span><a href="http://www.ncbi.nlm.nih.gov/pubmed/?term=24463883">whole-genome</a><span>,&nbsp;</span><a href="http://www.nature.com/ng/journal/v45/n1/abs/ng.2492.html">exon-capture</a><span>, and&nbsp;</span><a href="http://www.nature.com/nature/journal/v493/n7432/abs/nature11725.html">targeted capture</a><span>&nbsp;data, it has been run on very large datasets as part of the&nbsp;</span><a href="http://www.1000genomes.org/">Thousand Genomes</a><span>&nbsp;and WGS500 projects, and is being used in clinical sequencing trials in the&nbsp;</span><a href="http://www.mcgprogramme.com/">Mainstreaming Cancer Genetics</a><span>&nbsp;programme.&nbsp;</span></p>
<p><span>Tutorial&nbsp;https://github.com/andyrimmer/Platypus/blob/master/misc/README.txt</span></p><p>Address of the bookmark: <a href="http://www.well.ox.ac.uk/platypus" rel="nofollow">http://www.well.ox.ac.uk/platypus</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/8317/new-version-of-modeller-913</guid>
	<pubDate>Thu, 13 Feb 2014 09:07:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/8317/new-version-of-modeller-913</link>
	<title><![CDATA[New version of Modeller, 9.13]]></title>
	<description><![CDATA[<p>The new version of Modeller, 9.13, is now available for download! Please see the download page at <a href="http://www.facebook.com/l.php?u=http%3A%2F%2Fsalilab.org%2Fmodeller%2F&amp;h=mAQG5wo_Z&amp;enc=AZOoq2B7BxT95AT3Mw3za3VlbmRFke43YMI5vAjCAbBlIcf3bptn8pmFC1Idxrssy98117S03IgdcNmEWcQBi9bmi8Or_ut1D1yybt1ZonvPoCT3_LOglcYV7o6bEaa442_6LhbjefEaelkq0aq6dl0w&amp;s=1" target="_blank">http://salilab.org/modeller/</a> for more information.</p><p><img src="http://salilab.org/modeller/gifs/modeller.jpg" alt="image" width="848" height="272" style="border: 0px; border: 0px;"><br /> <br /> If you have a license key for Modeller 8 or 9, there is no need to reregister for Modeller 9.13 - the same license key will work. (It won't <span>do any harm to reregister if you want to, though!)<br /> <br /> 9.13 is primarily a bugfix release relative to the last public release(9.12). Major user-visible changes include:<br /> <br /> # Modeller now includes a variety of SOAP (statistically optimized atomic potential) scores for assessing proteins, loops, and interfaces.<br /> <br /> # The Lennard-Jones interaction energy is now artificially truncated at very short distance; this makes simulations with poor starting conditions much less likely to 'blow up'.<br /> <br /> # model.get_insertions(), model.get_deletions() and model.loops() now have an include_termini option; if False, residue ranges that include chain termini are excluded from the output.<br /> <br /> See the Modeller manual for a full change log: <a href="http://salilab.org/modeller/9.13/manual/node39.html" target="_blank">http://salilab.org/modeller/9.13/manual/node39.html</a><br /> <br /> If you encounter bugs in Modeller 9.13, please see <a href="http://salilab.org/modeller/9.13/manual/node10.html" target="_blank">http://salilab.org/modeller/9.13/manual/node10.html</a> for information on how to report them.</span></p><p><span>Reference:</span></p><p><span>http://salilab.org/modeller/</span></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39441/snakepipes-a-toolkit-based-on-snakemake-and-python-for-analysis-of-ngs-data</guid>
	<pubDate>Thu, 30 May 2019 04:06:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39441/snakepipes-a-toolkit-based-on-snakemake-and-python-for-analysis-of-ngs-data</link>
	<title><![CDATA[snakepipes: A toolkit based on snakemake and python for analysis of NGS data]]></title>
	<description><![CDATA[<p><span><span>snakePipes are flexible and powerful workflows built using&nbsp;</span><a href="https://github.com/maxplanck-ie/snakepipes/blob/master/snakemake.readthedocs.io">snakemake</a><span>&nbsp;that simplify the analysis of NGS data.</span></span></p>
<ul>
<li>DNA-mapping*</li>
<li>ChIP-seq*</li>
<li>RNA-seq*</li>
<li>ATAC-seq*</li>
<li>scRNA-seq</li>
<li>Hi-C</li>
<li>Whole Genome Bisulfite Seq/WGBS</li>
</ul>
<p><span>(*Also available in "allele-specific" mode)</span></p>
<p><span>snakePipes can be installed via conda : </span></p>
<p><span>'conda install -c mpi-ie -c bioconda -c conda-forge snakePipes'. </span></p>
<p><span>Source code (</span><a href="https://github.com/maxplanck-ie/snakepipes" target="">https://github.com/maxplanck-ie/snakepipes</a><span>) and documentation (</span><a href="https://snakepipes.readthedocs.io/en/latest/" target="">https://snakepipes.readthedocs.io/en/latest/</a><span>) are available online.</span></p><p>Address of the bookmark: <a href="https://github.com/maxplanck-ie/snakepipes" rel="nofollow">https://github.com/maxplanck-ie/snakepipes</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/8509/the-best-bioinformatics-computational-biology-quotes</guid>
	<pubDate>Wed, 26 Feb 2014 17:50:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/8509/the-best-bioinformatics-computational-biology-quotes</link>
	<title><![CDATA[The Best Bioinformatics / Computational Biology Quotes]]></title>
	<description><![CDATA[<p><img src="http://bioinformaticsonline.com/mod//photo/hahaha.png" style="border: 0; border: 0px;" alt="image"></p><p>Bioinformatician are not anti-social; We are just genome friendly.</p><p>Bioinformatician would love to change the biological world, but they won't give us the genetic code :P</p><p>If at first you don't succeed; call it version 1.0</p><p>The glass is neither half-full nor half-empty: it's actually have several genomes.</p><p>I'm BioGeek.</p><p>Fedup with LIPS, try God script.</p><p>Idiot, Go ahead, make my data!</p><p>Thank god, my genome just compiled.</p><p>Error message: "Out of space on genome drive:"</p><p>Shut up mobile elements, or i'll flush you out.</p><p>Never underestimate the internet bandwidth, u gotta incomplete.</p><p>Applied fuzzy logic to understand God's logic?</p><p>Warning! Overflow, delete chromosome !</p><p>Be nice to the BioGeek, for all you know they might be the next curator!</p><p>Beware of computational biologist they screw genes and protein.</p><p>Warning! Your genome is full of garbage, delete it !</p><p>Bad or missing mouse genome. Spank the cat? (Y/N)</p><p>Genome make very fast, very accurate mistakes.</p><p>Let's BLAST it.</p><p>Some genome never has transposons. It just develops random features.</p><p>Go watch CINEMA and have BLAST.</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40604/gapfinisher-a-reliable-gap-filling-pipeline-for-sspace-longread-scaffolder-output</guid>
	<pubDate>Fri, 24 Jan 2020 06:04:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40604/gapfinisher-a-reliable-gap-filling-pipeline-for-sspace-longread-scaffolder-output</link>
	<title><![CDATA[gapFinisher: A reliable gap filling pipeline for SSPACE-LongRead scaffolder output]]></title>
	<description><![CDATA[<p><span>gapFinisher is based on the controlled use of a previously published gap filling tool FGAP and works on all standard Linux/UNIX command lines. They compare the performance of gapFinisher against two other published gap filling tools PBJelly and GMcloser. </span></p>
<p><span>gapFinisher can fill gaps in draft genomes quickly and reliably.</span></p><p>Address of the bookmark: <a href="https://github.com/kammoji/gapFinisher" rel="nofollow">https://github.com/kammoji/gapFinisher</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/8987/the-dna-of-a-successful-bioinformatician-decoded</guid>
	<pubDate>Wed, 12 Mar 2014 13:41:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/8987/the-dna-of-a-successful-bioinformatician-decoded</link>
	<title><![CDATA[The DNA of a Successful Bioinformatician decoded !!!]]></title>
	<description><![CDATA[<p>Many blogs exist about successful bioinformatician, but this blog so far now is my personal view on characteristics of successful bioinformatician or computational biologist. &nbsp;Hmm &hellip; of course these views are subjective to my own personal experiences and therefore I don't claim that the view listed here is complete. As a human, I don&rsquo;t take them too serious. The success must not be the only target of your work. The target is to work on your own virtues; some of those virtues are the topic of this blog.</p><p><img src="http://bioinformaticsonline.com/mod/photo/genome_decode.png" alt="image" width="509" height="458" style="border: 0px; border: 0px;"><br /> <br /> <strong>1. Update new things continuously<br /></strong>As per my personal experience, it&rsquo;s not always easy to work as a bioinformatician! &nbsp;There are couple of reasons to say that; First computational part of biology make our life&rsquo;s a little harder compared to other professional categories. The fact - for instance - that the technology cycle in the bioinformatics world is very short, the actual knowledge becomes outdated in a few months or years. Therefore, we need to learn continuously - new things get important. Second, to stay on top of things we really need the strong will to be good at our job. That's probably the most important characteristic to bioinformatician. They are usually an excellent knowledge worker with great technical abilities, and have the will to be that over decades!<br /> <br /> <strong>2. Avoid the sentence </strong><strong>"I did not know what to do!"</strong><br /> In our computational biology lab, we generally face lots of technical problems. But as you know, it's impossible to know everything to do the computational biology jobs ( Yup.. because you need diverse and multidisciplinary knowledge to understand biological problems and resolve their respective solutions), therefore it's absolutely necessary that a bioinformatician finds its way through a new topic. How I typically do that is I use google and I talk to other experts in our laboratory or online biostar community to find out what they think. "I did not know what to do!" should not be an argument for us.<strong><br /><br /> <strong>3. To make oneself useful</strong></strong><br /> Several time it does happen, you finished our task earlier than expected; in such cases if you have some time left then: Take a coffee and play chess; reversi, etc. In my case I take a rest. Afterwards I think about what I could do that helps the team to achieve its targets, 'cause some of my team mates probably didn't finish! (at least if I didn't met them at coffee bar !!)</p><p><strong>4. Care for all</strong><br /> During my rigorous research duration; I attended several workshop organized by my University departments. I had a discussion with other research fellow, professors; I generally ask &hellip; what it really takes to make a team successful or to be a successful research leader. They always said: "Well, you need some caring people!" I think there is a lot truth in that statement. If we do not care about quality, timelines, good team culture, respectful communication (!!), clean code, if all this doesn&rsquo;t matter to us, then I believe the probability is higher that we fail in research and analysis. <br /> <br /> <strong>5. Be good with people</strong><br /> Because bioinformatician and computational biologist jobs typically involves to work in a (most wanted J cross-departmental!) team, therefore it's important that we're (more or less) good in dealing with other individuals. Everyone have their own strengths and weaknesses, just like us. It's important to treat all the research team mates with respect, regardless of their technical competence or contributions. Of course, sometimes people deserve a clear statement (!!!), but try to do these things one-on-one. Make sure nobody loses his face. Attend the meetings at the coffee bar; be good at table top soccer and go out once in a while to have a beer with your team. You know what I'm talking about.</p><p>At the end of a week I look back and I ask myself what I have produced. This could be paperwork, community days or (best!!) programming code. Always remember there is always a solution to a problem. Most of the times there are at least three solutions. So, don&rsquo;t just blame, suggest a solution.<br /> <br /> That's it. I am looking forward to your thoughts and comments!</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41730/parliament2-runs-a-combination-of-tools-to-generate-structural-variant-calls-on-whole-genome-sequencing-data</guid>
	<pubDate>Thu, 28 May 2020 21:57:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41730/parliament2-runs-a-combination-of-tools-to-generate-structural-variant-calls-on-whole-genome-sequencing-data</link>
	<title><![CDATA[Parliament2: Runs a combination of tools to generate structural variant calls on whole-genome sequencing data]]></title>
	<description><![CDATA[<p>Parliament2 identifies structural variants in a given sample relative to a reference genome. These structural variants cover large deletion events that are called as Deletions of a region, Insertions of a sequence into a region, Duplications of a region, Inversions of a region, or Translocations between two regions in the genome.</p>
<p>Parliament2 runs a combination of tools to generate structural variant calls on whole-genome sequencing data. It can run the following callers: Breakdancer, Breakseq2, CNVnator, Delly2, Manta, and Lumpy. Because of synergies in how the programs use computational resources, these are all run in parallel. Parliament2 will produce the outputs of each of the tools for subsequent investigation.</p><p>Address of the bookmark: <a href="https://github.com/dnanexus/parliament2" rel="nofollow">https://github.com/dnanexus/parliament2</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/9028/linux-for-bioinformatician</guid>
	<pubDate>Thu, 13 Mar 2014 16:59:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/9028/linux-for-bioinformatician</link>
	<title><![CDATA[Linux for bioinformatician !!!]]></title>
	<description><![CDATA[<p>Linux, free operating system for computers, provides several powerful admin tools and utilities which will help you to manage your systems effectively and handle huge amount of genomic/biological data with an ease. The field of bioinformatics relies heavily on Linux-based computers and software. Although most bioinformatics programs can be compiled to run. If you don&rsquo;t know what these no so user-friendly tools are and how to use them, you could be spending lot of time trying to perform even the basic admin tasks. The focus of this linux series is to help you understand system admin as well as basic tools, which will help you to become an effective bioinformatician and computational biologist.<br /><br /></p><p>For knowledge about Linux and their importance amongst bioinformatician plesae read this article "<a href="http://www.ualberta.ca/~stothard/downloads/linux_for_bioinformatics.pdf">An introduction to Linux for bioinformatics</a>" by Paul Stothard.</p><p>Linux cheat sheet at http://bioinformaticsonline.com/file/view/87/linux-cheat-sheet</p><p>Please browse for futher useful linux pages on right hand side ...</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43227/project-associate-i-project-associate-ii-senior-project-associate-igib</guid>
  <pubDate>Thu, 05 Aug 2021 16:11:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Associate-I | Project Associate-II | Senior Project Associate @ IGIB]]></title>
  <description><![CDATA[
<p>Experience in Next Generation Sequencing (NGS) application and interest in Genomics/ Clinical / Translational Applications. OR Good computational programming skills and deep interest in working on interface of Genomics and Clinical application. </p>

<p>Project Scientist-I <br />Experimental / Computation analysis experience in highthroughput genomics/ clinical application.</p>

<p>Project Manager <br />Experience in handling large biological projects involving high-throughput genomics/ clinical application.</p>

<p>Scientific Administrative Assistant <br />Lab Work. </p>

<p>More at https://vinodscaria.genomes.in/positionsopen</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/9204/keep-your-important-ssh-session-running-when-you-disconnect-from-server</guid>
	<pubDate>Sat, 15 Mar 2014 21:39:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/9204/keep-your-important-ssh-session-running-when-you-disconnect-from-server</link>
	<title><![CDATA[Keep Your Important SSH Session Running when You Disconnect from Server !!!]]></title>
	<description><![CDATA[<p>As a Bioinformatician/ Computational biologist we swim in the ocean of genomic/proteomics data, and play with them with an ease. In our day to day simulation, analysis, comparative study we do need to run exhaustive programs, which might take more than a week. In such cases we do need to disconnect from sever in a way that our program/session should not get terminated. To do so there are lots of software, tools such as tmux ( <a href="http://tmux.sourceforge.net/">http://tmux.sourceforge.net/</a>, nohup (<a href="http://ss64.com/bash/nohup.html">http://ss64.com/bash/nohup.html</a>) , byobu (<a href="https://help.ubuntu.com/10.04/serverguide/byobu.html">https://help.ubuntu.com/10.04/serverguide/byobu.html</a>) and other commands (disown -a &amp;&amp; exit), but following are the ones I use the most.</p><p>Screen is like a window manager for your console. It will allow you to keep multiple terminal sessions running and easily switch between them. It also protects you from disconnection, because the screen session doesn&rsquo;t end when you get disconnected.<br /><br />You&rsquo;ll need to make sure that screen is installed on the server you are connecting to. If that server is Ubuntu or Debian, just use this command:<br /><br />sudo apt-get install screen<br /><br />Now you can start a new screen session by just typing screen at the command line. You&rsquo;ll be shown some information about screen. Hit enter, and you&rsquo;ll be at a normal prompt.<br /><br /><strong>To disconnect (but leave the session running)</strong><br /><br />Hit Ctrl + A and then Ctrl + D in immediate succession. You will see the message [detached]<br /><br /><strong>To reconnect to an already running session</strong><br /><br />screen -r<br /><br /><strong>To reconnect to an existing session, or create a new one if none exists</strong><br /><br />screen -D -r<br /><br /><strong>To create a new window inside of a running screen session</strong><br /><br />Hit Ctrl + A and then C in immediate succession. You will see a new prompt.<br /><br /><strong>To switch from one screen window to another</strong><br /><br />Hit Ctrl + A and then Ctrl + A in immediate succession.<br /><br /><strong>To list open screen windows</strong><br /><br />Hit Ctrl + A and then W in immediate succession</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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