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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/11181?offset=160</link>
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	<description><![CDATA[]]></description>
	
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29208/srf-bioinformatics-job-position-in-national-institute-of-plant-genome-research-nipgr</guid>
  <pubDate>Mon, 19 Sep 2016 05:43:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF Bioinformatics job position in National Institute of Plant Genome Research (NIPGR)]]></title>
  <description><![CDATA[
<p>SRF Bioinformatics job position in National Institute of Plant Genome Research (NIPGR)<br />Title : “Transcriptome and small RNA diversity analysis of developing seed contrasting rice varieties” <br />Qualification : Candidates having M.Sc./M.Tech. degree or equivalent (with minimum 60% marks) in Bioinformatics with a minimum of two years of post M.Sc./M.Tech research experience are eligible to apply.<br />No. of Post : 01<br />How to apply<br />Application should reach to Dr. Pinky Agarwal, Staff Scientist, National Institute of Plant Genome Research (NIPGR) Aruna Asaf Ali Marg, P.O. Box NO. 10531, New Delhi - 110067 on or before 30/09/2016</p>

<p>More at http://www.nipgr.res.in/careers/vacancies_latest.php#</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29210/cgview-circular-genome-viewer</guid>
	<pubDate>Mon, 19 Sep 2016 07:52:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29210/cgview-circular-genome-viewer</link>
	<title><![CDATA[CGView - Circular Genome Viewer]]></title>
	<description><![CDATA[<p>GView is a Java package used to display and navigate bacterial genomes. GView is useful for producing high-quality genome maps for use in publications and websites, or as a visualization tool in a sequence annotation pipeline. Users can interact with the genome using a powerful pan-and-zoom interface, or GView can write static images of a genome to a file. GView can draw a genome using either circular or linear layouts. For examples of some of the images GView can produce, see the <a href="https://www.gview.ca/bin/view/GView/ImageGallery">Image Gallery</a>. GView is a re-write of <a href="http://wishart.biology.ualberta.ca/cgview/" target="_top">CGView</a>, a circular genome viewer written by Paul Stothard. The goal of GView is to provide greater user interaction, and more flexibility in how the genome map is rendered. To aid with easily configuring the display of a genome, a style editor has been included to provide an intuitive, user-friendly graphical user interface for customizing genome maps. Styling attributes such as colours or fonts for the various map elements can be adjusted in real time. Customized styles can be saved for later use or for application to other genome maps using GView's <a href="https://www.gview.ca/bin/view/GViewDocumentation/GViewGSS">custom file format</a>.</p><p>Address of the bookmark: <a href="http://wishart.biology.ualberta.ca/cgview/" rel="nofollow">http://wishart.biology.ualberta.ca/cgview/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29270/blast-ring-image-generator-brig</guid>
	<pubDate>Fri, 30 Sep 2016 09:18:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29270/blast-ring-image-generator-brig</link>
	<title><![CDATA[BLAST Ring Image Generator (BRIG)]]></title>
	<description><![CDATA[<p>BRIG is a free cross-platform (Windows/Mac/Unix) application that can display circular comparisons between a large number of genomes, with a focus on handling genome assembly data. The application is available at: <a href="http://sourceforge.net/projects/brig">http://sourceforge.net/projects/brig</a></p>
<p>If you have any questions or comments, post them on <a href="http://sourceforge.net/tracker/?group_id=328245">one of the trackers</a> on BRIG&rsquo;s SourceForge page: <a href="http://sourceforge.net/tracker/?group_id=328245">http://sourceforge.net/tracker/?group_id=328245</a>.</p>
<p>Features:</p>
<ul>
<li>Images show similarity between a central reference sequence and other sequences as concentric rings.</li>
<li>BRIG will perform all BLAST comparisons and file parsing automatically via a simple GUI.</li>
<li>Contig boundaries and read coverage can be displayed for draft genomes; customized graphs and annotations can be displayed.</li>
<li>Using a user-defined set of genes as input, BRIG can display gene presence, absence, truncation or sequence variation in a set of complete genomes, draft genomes or even raw, unassembled sequence data.</li>
<li>BRIG also accepts SAM-formatted read-mapping files enabling genomic regions present in unassembled sequence data from multiple samples to be compared simultaneously</li>
</ul><p>Address of the bookmark: <a href="http://brig.sourceforge.net/" rel="nofollow">http://brig.sourceforge.net/</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29379/bbmap-help</guid>
	<pubDate>Mon, 10 Oct 2016 06:29:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29379/bbmap-help</link>
	<title><![CDATA[BBMap help]]></title>
	<description><![CDATA[<div>
<div>BBMAP <span> &bull; <span>a solution for everything</span></span><a href="https://www.biostarhandbook.com/"><span></span></a></div>
<div>That content has been reformatted and it is being expanded to include more information.<span><span></span></span></div>
</div>
<hr>
<p>There are common options for most BBMap suite programs and depending on the file extension the input/output format is automatically chosen/set.</p>
<hr>
<h3>Using BBMap</h3>
<h4>Mapping Nanopore reads</h4>
<p>BBMap.sh has a length cap of 6kbp. Reads longer than this will be broken into 6kbp pieces and mapped independently.</p>
<p>More at https://www.biostarhandbook.com/tools/bbmap/bbmap-help.html</p><p>Address of the bookmark: <a href="https://www.biostarhandbook.com/tools/bbmap/bbmap-help.html" rel="nofollow">https://www.biostarhandbook.com/tools/bbmap/bbmap-help.html</a></p>]]></description>
	<dc:creator>Shruti Paniwala</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/29583/graph-genome-suite</guid>
	<pubDate>Fri, 28 Oct 2016 07:59:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29583/graph-genome-suite</link>
	<title><![CDATA[Graph Genome Suite]]></title>
	<description><![CDATA[<p><span>Seven Bridges is the biomedical data analysis company accelerating breakthroughs in genomics research for cancer, drug development and precision medicine. We build self-improving systems to analyze millions of genomes, including the&nbsp;</span><strong>Graph Genome Suite</strong><span>&nbsp;&mdash; the most advanced population genomics tools in the world.</span></p><p>Address of the bookmark: <a href="https://www.sbgenomics.com/graph/" rel="nofollow">https://www.sbgenomics.com/graph/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29995/hga</guid>
	<pubDate>Tue, 29 Nov 2016 07:25:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29995/hga</link>
	<title><![CDATA[HGA]]></title>
	<description><![CDATA[<p>HGA tool version 1.0 This tool helps to apply the Hierarchical Genome Assembly (HGA) method. The tool will apply: 1. Partitioning a given reads dataset into a given number of partitions. 2. Assembling each partitions using a pre-specified assembler (Velvet or SPAdes in this version) and using a given kmer size. 3. Merging all the assemblies of the partition. 4. Combining all the assemblies of the partition (using velvet with kmer value of 31). 5. Finaly, re-assembling the whole dataset with the merged contigs or the combined contigs, using a given kmer size.</p>
<p>https://github.com/aalokaily/Hierarchical-Genome-Assembly-HGA</p><p>Address of the bookmark: <a href="https://github.com/aalokaily/Hierarchical-Genome-Assembly-HGA" rel="nofollow">https://github.com/aalokaily/Hierarchical-Genome-Assembly-HGA</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30015/scripts</guid>
	<pubDate>Wed, 30 Nov 2016 10:35:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30015/scripts</link>
	<title><![CDATA[Scripts]]></title>
	<description><![CDATA[<p>Useful script for NGS analysis.</p><p>Address of the bookmark: <a href="http://augustus.gobics.de/binaries/scripts/" rel="nofollow">http://augustus.gobics.de/binaries/scripts/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30085/fqtools</guid>
	<pubDate>Thu, 08 Dec 2016 09:31:12 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30085/fqtools</link>
	<title><![CDATA[fqtools]]></title>
	<description><![CDATA[<p><code>fqtools</code><span>&nbsp;is a software suite for fast processing of&nbsp;</span><code>FASTQ</code><span>&nbsp;files. Various file manipulations are supported. See below for a full list of the subcommands available and a brief description of their purpose. Most of the individual subcommands will take either a single file or a pair of files as input. If no input file is specified, fqtools will attempt to read data from&nbsp;</span><code>stdin</code><span>. In this case, it is advisabe to specify the format of the data provided. For subcommands that generate FASTQ data, either a single file or a pair of files will be generated. If no&nbsp;</span><code>-o</code><span>&nbsp;argument is provided, single files will be writted to&nbsp;</span><code>stdout</code><span>.</span></p><p>Address of the bookmark: <a href="https://github.com/alastair-droop/fqtools" rel="nofollow">https://github.com/alastair-droop/fqtools</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30147/cisa-contig-integrator-for-sequence-assembly</guid>
	<pubDate>Thu, 15 Dec 2016 05:42:21 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30147/cisa-contig-integrator-for-sequence-assembly</link>
	<title><![CDATA[CISA: Contig Integrator for Sequence Assembly]]></title>
	<description><![CDATA[<p>A plethora of algorithmic assemblers have been proposed for the <em>de novo</em> assembly of genomes, however, no individual assembler guarantees the optimal assembly for diverse species. Optimizing various parameters in an assembler is often performed in order to generate the most optimal assembly. However, few efforts have been pursued to take advantage of multiple assemblies to yield an assembly of high accuracy. In this study, we employ various state-of-the-art assemblers to generate different sets of contigs for bacterial genomes. A tool, named CISA, has been developed to integrate the assemblies into a hybrid set of contigs, resulting in assemblies of superior contiguity and accuracy, compared with the assemblies generated by the state-of-the-art assemblers and the hybrid assemblies merged by existing tools. This tool is implemented in Python and requires MUMmer and BLAST+ to be installed on the local machine. The source code of CISA and examples of its use are available at <a href="http://sb.nhri.org.tw/CISA/">http://sb.nhri.org.tw/CISA/</a>.</p><p>Address of the bookmark: <a href="http://sb.nhri.org.tw/CISA/en/CISA" rel="nofollow">http://sb.nhri.org.tw/CISA/en/CISA</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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