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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30124?offset=1110</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34246/unicycler-hybrid-assembly-pipeline-for-bacterial-genomes</guid>
	<pubDate>Fri, 10 Nov 2017 03:58:27 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34246/unicycler-hybrid-assembly-pipeline-for-bacterial-genomes</link>
	<title><![CDATA[Unicycler: Hybrid assembly pipeline for bacterial genomes]]></title>
	<description><![CDATA[<p><span>Unicycler is an assembly pipeline for bacterial genomes. It can assemble&nbsp;</span><a href="http://www.illumina.com/">Illumina</a><span>-only read sets where it functions as a&nbsp;</span><a href="http://cab.spbu.ru/software/spades/">SPAdes</a><span>-optimiser. It can also assembly long-read-only sets (</span><a href="http://www.pacb.com/">PacBio</a><span>&nbsp;or&nbsp;</span><a href="https://nanoporetech.com/">Nanopore</a><span>) where it runs a&nbsp;</span><a href="https://github.com/lh3/miniasm">miniasm</a><span>+</span><a href="https://github.com/isovic/racon">Racon</a><span>&nbsp;pipeline. For the best possible assemblies, give it both Illumina reads&nbsp;</span><em>and</em><span>&nbsp;long reads, and it will conduct a hybrid assembly.</span></p><p>Address of the bookmark: <a href="https://github.com/rrwick/Unicycler" rel="nofollow">https://github.com/rrwick/Unicycler</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28802/research-associate-bioinformatics-recruitment-in-icgeb-new-delhi</guid>
  <pubDate>Tue, 16 Aug 2016 03:38:05 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics recruitment in ICGEB, New Delhi]]></title>
  <description><![CDATA[
<p>Research Associate Bioinformatics recruitment in ICGEB, New Delhi </p>

<p>Project :“Genetic Transformation and Development of Elite Transgenic Maize (Zea mays L.) for Biotic and Abiotic Stresses Tolerance”.</p>

<p>Qualification: Ph.D. degree in:Biotechnology/Bioinformatics/Biochemistry/Plant Molecular Biology/Plant Physiology/Botany or any related area with evidence of prior experience in maize transformation.</p>

<p>Additional experience in plant transformation of any cereal crop would be preferable.</p>

<p>The appointment would initially be for one year.</p>

<p>How to apply<br />Interested applicants should send their detailed CV including brief synopsis regarding the previous research experience (along withcontact email address by email) to: Dr. Tanushri Kaul (tanushri@icgeb.res.in). Group Leader, Nutritional Improvement of Crops Group, International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi-110 067.</p>

<p>Closing date for applications: 22 August 2016.</p>

<p>More at http://www.icgeb.org/vacancies.html</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28851/senior-manager-bioinformatics-operations-at-rgcb-india</guid>
  <pubDate>Fri, 19 Aug 2016 04:37:17 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Manager (Bioinformatics Operations) at RGCB, India]]></title>
  <description><![CDATA[
<p>Senior Manager (Bioinformatics Operations) <br />Rajiv Gandhi Centre for Biotechnology (RGCB) - Thiruvananthapuram, Kerala <br />₹15,600 - ₹39,100 a month<br />Rajiv Gandhi Centre for Biotechnology (RGCB) invites applications for the following positions from Indian citizens with prescribed qualifications </p>

<p>Senior Manager (Bioinformatics Operations) <br />No. of posts: 01 (General) <br />Pay Scale: PB-3 15600-39100 + Grade Pay Rs.6600/- <br />Min. Qualification: PhD in Bioinformatics, , Life Sciences or Computer Science applied to biological questions. <br />A Min. 5 years of experience <br />Age limit: 40 years as on August 01, 2016</p>

<p>More at http://www.rgcb.res.in/positions.php</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36621/hapcut2-robust-and-accurate-haplotype-assembly-for-diverse-sequencing-technologies</guid>
	<pubDate>Tue, 15 May 2018 07:35:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36621/hapcut2-robust-and-accurate-haplotype-assembly-for-diverse-sequencing-technologies</link>
	<title><![CDATA[HapCUT2: robust and accurate haplotype assembly for diverse sequencing technologies]]></title>
	<description><![CDATA[HapCUT2 is a maximum-likelihood-based tool for assembling haplotypes from DNA sequence reads, designed to "just work" with excellent speed and accuracy. We found that previously described haplotype assembly methods are specialized for specific read technologies or protocols, with slow or inaccurate performance on others. With this in mind, HapCUT2 is designed for speed and accuracy across diverse sequencing technologies, including but not limited to:

NGS short reads (Illumina HiSeq)
clone-based sequencing (Fosmid or BAC clones)
SMRT reads (PacBio)
Oxford Nanopore reads
10X Genomics Linked-Reads
proximity-ligation (Hi-C) reads
high-coverage sequencing (&gt;40x coverage-per-SNP) using above technologies
combinations of the above technologies (e.g. scaffold long reads with Hi-C reads)
See below for specific examples of command line options and best practices for some of these technologies.

NOTE: At this time HapCUT2 is for diploid organisms only. VCF input should contain diploid variants.

If you use HapCUT2 in your research, please cite:

Edge, P., Bafna, V. &amp; Bansal, V. HapCUT2: robust and accurate haplotype assembly for diverse sequencing technologies. Genome Res. gr.213462.116 (2016). doi:10.1101/gr.213462.116<p>Address of the bookmark: <a href="https://github.com/vibansal/HapCUT2" rel="nofollow">https://github.com/vibansal/HapCUT2</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37291/transrate-understanding-your-transcriptome-assembly</guid>
	<pubDate>Fri, 13 Jul 2018 07:49:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37291/transrate-understanding-your-transcriptome-assembly</link>
	<title><![CDATA[transrate: Understanding your transcriptome assembly]]></title>
	<description><![CDATA[<p><span>Transrate is software for&nbsp;</span><em>de-novo</em><span>&nbsp;transcriptome assembly quality analysis. It examines your assembly in detail and compares it to experimental evidence such as the sequencing reads, reporting quality scores for contigs and assemblies. This allows you to choose between assemblers and parameters, filter out the bad contigs from an assembly, and help decide when to stop trying to improve the assembly.</span></p><p>Address of the bookmark: <a href="http://hibberdlab.com/transrate/index.html" rel="nofollow">http://hibberdlab.com/transrate/index.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38505/allhic-phasing-and-scaffolding-polyploid-genomes-based-on-hi-c-data</guid>
	<pubDate>Thu, 20 Dec 2018 12:03:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38505/allhic-phasing-and-scaffolding-polyploid-genomes-based-on-hi-c-data</link>
	<title><![CDATA[ALLHiC: Phasing and scaffolding polyploid genomes based on Hi-C data]]></title>
	<description><![CDATA[<p><span>The major problem of scaffolding polyploid genome is that Hi-C signals are frequently detected between allelic haplotypes and any existing stat of art Hi-C scaffolding program links the allelic haplotypes together. To solve the problem, we developed a new Hi-C scaffolding pipeline, called ALLHIC, specifically tailored to the polyploid genomes. ALLHIC pipeline contains a total of 5 steps:&nbsp;</span><em>prune</em><span>,&nbsp;</span><em>partition</em><span>,&nbsp;</span><em>rescue</em><span>,&nbsp;</span><em>optimize</em><span>&nbsp;and&nbsp;</span><em>build</em><span>.</span></p><p>Address of the bookmark: <a href="https://github.com/tangerzhang/ALLHiC/wiki" rel="nofollow">https://github.com/tangerzhang/ALLHiC/wiki</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38755/svaba-genome-wide-detection-of-structural-variants-and-indels-by-local-assembly</guid>
	<pubDate>Mon, 21 Jan 2019 17:58:56 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38755/svaba-genome-wide-detection-of-structural-variants-and-indels-by-local-assembly</link>
	<title><![CDATA[SvABA: Genome-wide detection of structural variants and indels by local assembly]]></title>
	<description><![CDATA[<p><span>SvABA is a method for detecting structural variants in sequencing data using genome-wide local assembly. Under the hood, SvABA uses a custom implementation of&nbsp;</span><a href="https://github.com/jts/sga">SGA</a><span>&nbsp;(String Graph Assembler) by Jared Simpson, and&nbsp;</span><a href="https://github.com/lh3/bwa">BWA-MEM</a><span>&nbsp;by Heng Li. Contigs are assembled for every 25kb window (with some small overlap) for every region in the genome. The default is to use only clipped, discordant, unmapped and indel reads, although this can be customized to any set of reads at the command line using&nbsp;</span><a href="https://github.com/walaj/VariantBam">VariantBam</a><span>&nbsp;rules. These contigs are then immediately aligned to the reference with BWA-MEM and parsed to identify variants. Sequencing reads are then realigned to the contigs with BWA-MEM, and variants are scored by their read support.</span></p><p>Address of the bookmark: <a href="https://github.com/walaj/svaba" rel="nofollow">https://github.com/walaj/svaba</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/29479/how-to-install-perl-modules-on-mac-os-x-in-easy-steps</guid>
	<pubDate>Thu, 20 Oct 2016 07:26:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/29479/how-to-install-perl-modules-on-mac-os-x-in-easy-steps</link>
	<title><![CDATA[How to install Perl modules on Mac OS X in easy steps !!]]></title>
	<description><![CDATA[<p>Today at work, I learned how to install Perl modules using&nbsp;<a href="http://en.wikipedia.org/wiki/CPAN">CPAN</a>. It&rsquo;s a lot easier than I thought.</p><p>You see, for the past couple of years, I&rsquo;ve been a bit frustrated because OS X does not come with a whole lot of Perl modules pre-installed, and for all I googled, I couldn&rsquo;t find an &ldquo;idiot&rsquo;s&rdquo; guide for moderately-savvy-but-not-expert users like myself to install modules and dependencies on demand.</p><p>The only instructions I could find point to&nbsp;<a href="http://fink.sourceforge.net/">Fink</a>, which basically installs modules in a path that isn&rsquo;t included in the Perl @INC variable, meaning you have to manually specify the full path to the modules in every script &mdash; which is not a lot of fun if you&rsquo;re developing on OS X and deploying on Red Hat, for instance.</p><p>Moreover, Fink doesn&rsquo;t seem to make every module available, and it&rsquo;s not very easy to determine which Fink package you need to install if you need a particular module.</p><p>So, with a script that called on several apparently unavailable modules, and a deadline looming, I finally decided to suck it up and figure out how to use CPAN to install them:</p><h4>1) Make sure you have the Apple Developer Tools (XCode) installed.</h4><p>These are on one of your install discs, or available as a huge but free download from the&nbsp;<a href="https://developer.apple.com/xcode/">Apple Developer Connection</a>&nbsp;[free registration required] or the Mac App Store. I thought I had them, but apparently when we upgraded that computer to Tiger, they went missing.</p><p>If you don&rsquo;t have this stuff installed, your installation will fail with errors about unavailable commands.</p><h4>1.5) Install Command Line Tools (Recent XCode versions only)</h4><p>(Thank you to Tom Marchioro for informing me about this step.)</p><p>Older versions of XCode installed the command line tools (which are required to properly install CPAN modules) by default, but apparently newer ones do not. To check whether you have the command line tools already installed, run the following from the Terminal:</p><p><code>$ which make</code></p><p>This command checks the system for the &ldquo;<code>make</code>&rdquo; tool. If it spits out something like&nbsp;<code>/usr/bin/make</code>&nbsp;you&rsquo;re golden and can skip ahead to Step 2. If you just get a new prompt and no output, you&rsquo;ll need to install the tools:</p><ol>
<li>Launch XCode and bring up the Preferences panel.</li>
<li>Click on the Downloads tab</li>
<li>Click to install the Command Line Tools</li>
</ol><p>If you like, you can run&nbsp;<code>which make</code>&nbsp;again to confirm that everything&rsquo;s installed correctly.</p><h4>2) Configure CPAN.</h4><p><code>$ sudo perl -MCPAN -e shell</code></p><p><code>perl&gt; o conf init</code></p><p>This will prompt you for some settings. You can accept the defaults for almost everything (just hit &ldquo;return&rdquo;). The two things you must fill in are the path to&nbsp;<code>make</code>&nbsp;(which should be&nbsp;<code>/usr/bin/make</code>&nbsp;or the value returned when you run&nbsp;<code>which make</code>&nbsp;from the command line) and your choice of CPAN mirrors (which you actually choose don&rsquo;t really matter, but it won&rsquo;t let you finish until you select at least one). If you use a proxy or a very restrictive firewall, you may have to configure those settings as well.</p><p>If you skip Step 2, you may get errors about&nbsp;<code>make</code>&nbsp;being unavailable.</p><h4>3) Upgrade CPAN</h4><p><code>$ sudo perl -MCPAN -e 'install Bundle::CPAN'</code></p><p>Don&rsquo;t forget the&nbsp;<code>sudo</code>, or it&rsquo;ll fail with permissions errors, probably when doing something relatively unimportant like installing&nbsp;<code>man</code>&nbsp;files.</p><p>This will spend a long time downloading, testing, and compiling various files and dependencies. Bear with it. It will prompt you a few times about dependencies. You probably want to enter &ldquo;yes&rdquo;. I agreed to everything it asked me, and everything turned out fine. YMMV of course. If everything installs properly, it&rsquo;ll give you an &ldquo;OK&rdquo; at the end.</p><h4>4) Install your modules. For each module&hellip;.</h4><p><code>$ sudo perl -MCPAN -e 'install Bundle::Name'</code></p><p>or</p><p><code>$ sudo perl -MCPAN -e 'install Module::Name'</code></p><p>This will install the module&nbsp;<em>and</em>&nbsp;its dependencies. Nice, eh? Again, don&rsquo;t forget the&nbsp;<code>sudo</code>.</p><p>The first time you run this after upgrading CPAN, it may prompt you to configure again (see Step 2). If you accept its offer to try to configure itself automatically, it may just run through everything without a problem.</p><p>There are a couple of potential pitfalls with specific modules (such as the<code>LWP::UserAgent</code>&nbsp;/&nbsp;<code>HEAD</code>&nbsp;issue), but most have workarounds, and I haven&rsquo;t run into anything that wasn&rsquo;t easily recoverable.</p><p>And that&rsquo;s it!</p><p>Did you find this useful? Is there anything I missed?</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40516/nextdenovo-string-graph-based-de-novo-assembler-for-tgs-long-reads</guid>
	<pubDate>Sun, 05 Jan 2020 04:08:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40516/nextdenovo-string-graph-based-de-novo-assembler-for-tgs-long-reads</link>
	<title><![CDATA[NextDenovo: string graph-based de novo assembler for TGS long reads]]></title>
	<description><![CDATA[<p>NextDenovo is a string graph-based<span>&nbsp;</span><em>de novo</em><span>&nbsp;</span>assembler for TGS long reads. It uses a "correct-then-assemble" strategy similar to canu, but requires significantly less computing resources and storages. After assembly, the per-base error rate is about 97-98%, to further improve single base accuracy, please use<span>&nbsp;</span><a href="https://github.com/Nextomics/NextPolish">NextPolish</a>.</p>
<p>NextDenovo contains two core modules: NextCorrect and NextGraph. NextCorrect can be used to correct TGS long reads with approximately 15% sequencing errors, and NextGraph can be used to construct a string graph with corrected reads. It also contains a modified version of<span>&nbsp;</span><a href="https://github.com/lh3/minimap2">minimap2</a><span>&nbsp;</span>for adapting input and output and producing more sensitive and accurate dovetail overlaps, and some useful utilities (see<span>&nbsp;</span><a href="https://github.com/Nextomics/NextDenovo/blob/master/doc/UTILITY.md">here</a><span>&nbsp;</span>for more details).</p><p>Address of the bookmark: <a href="https://github.com/Nextomics/NextDenovo" rel="nofollow">https://github.com/Nextomics/NextDenovo</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29953/traineeship-at-jawaharlal-nehru-tropical-botanic-garden-and-research-institute</guid>
  <pubDate>Fri, 25 Nov 2016 08:07:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Traineeship at JAWAHARLAL NEHRU TROPICAL BOTANIC GARDEN AND RESEARCH INSTITUTE]]></title>
  <description><![CDATA[
<p>JAWAHARLAL NEHRU TROPICAL BOTANIC GARDEN AND RESEARCH INSTITUTE</p>

<p>THIRUVANANTHAPURAM - 695 562</p>

<p>Traineeship on Bioinformatics(2)</p>

<p>First class M.Sc. Bioinformatics/ Agriculture/ Botany/ Biotechnology @ Rs.8000</p>

<p>Those candidates who fulfill the above criteria may attend a walk PCC Coordinator in-interview on 28th November 2016 at Saraswathy Thangavelu center, JNTBGRI, Puthenthope, Thiruvananthapuram between at 10.00 am and 2.00 pm with all the relevant document and testimonials.</p>

<p>No TA/DA will be given to candidates for attending the interview.</p>

<p>More Info : http://jntbgri.res.in/downloads/traineeship_notification.pdf</p>
]]></description>
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