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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/33866?offset=110</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/34864/installing-perl-environment-on-linux</guid>
	<pubDate>Tue, 26 Dec 2017 21:21:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/34864/installing-perl-environment-on-linux</link>
	<title><![CDATA[Installing Perl environment on Linux]]></title>
	<description><![CDATA[<p>By using&nbsp;<code>plenv</code>, you can easily install and switch among different version of Perl. This will be installed under your home directory in<code>~/.plenv</code>.</p><h4>Install latest Perl (with supporting multithreading) and CPANMinus.</h4><pre><code> $ cd
 $ git clone git://github.com/tokuhirom/plenv.git ~/.plenv
 $ git clone git://github.com/tokuhirom/Perl-Build.git ~/.plenv/plugins/perl-build/
 $ echo 'export PATH="$HOME/.plenv/bin:$PATH"' &gt;&gt; ~/.bashrc
 $ echo 'eval "$(plenv init -)"' &gt;&gt; ~/.bashrc
 $ source ~/.bashrc
 $ plenv install 5.18.1 -Dusethreads
 $ plenv rehash
 $ plenv global 5.18.1
 $ plenv install-cpanm
</code></pre><ul>
<li><code>git</code>&nbsp;is a distributed revision control and source code management software which can help you to download files from GitHub server.</li>
<li><code>echo</code>&nbsp;means "print".</li>
<li><code>&gt;&gt;</code>&nbsp;means adding the output into the end of the file, while&nbsp;<code>&gt;</code>&nbsp;means adding the output by overwriting the whole file. Please use<code>&gt;</code>&nbsp;with additional cares.</li>
<li>In Linux system, there are two types of outputs when you execute a command. One is called standard output (or sometimes STDOUT for short), and the other is a standard error (STDERR).&nbsp;<code>1&gt;</code>&nbsp;is for STDOUT only,&nbsp;<code>2&gt;</code>&nbsp;is for STDERR only, and&nbsp;<code>&amp;&gt;</code>means for both. In default&nbsp;<code>&gt;</code>&nbsp;is the same to&nbsp;<code>1&gt;</code>.</li>
<li><code>exec</code>&nbsp;is execution.</li>
<li>Remember to install Perl in supporting multithreading (with option&nbsp;<code>-Dusethreads</code>), which is important for many NGS analysis packages (e.g. Trinity). In this setting, you can use multiple CPU for Perl software.</li>
<li>Install the CPAN (Comprehensive Perl Archive Network) manager software, CPANMinus, by&nbsp;<code>install-cpanm</code>.</li>
</ul><p>You can use&nbsp;<code>plenv global</code>&nbsp;and&nbsp;<code>plenv local</code>&nbsp;to change the different version of Perl to fulfil different needs of your Perl software.</p><p>For example, if the&nbsp;specific version of Perl is not compatible with your script, you can switch to the different version by:</p><pre><code> $ plenv local 
</code></pre><ul>
<li>It is similar to set the local version of your script language when you use&nbsp;<code>pyenv</code>&nbsp;and&nbsp;<code>rbenv</code>&nbsp;as the following.</li>
</ul><p>Put the following path into&nbsp;<code>~/.bashrc file</code>.</p><pre><code>export PERL5LIB="$HOME/.plenv/build/perl-5.18.1/lib"
</code></pre><h4>Install BioPerl and PerlIO::gzip</h4><p>CPANMinus is a very good Perl module manager, use&nbsp;<code>cpanm</code>&nbsp;to install BioPerl can save you a lot of time. Here are some useful modules:</p><pre><code>$ cpanm Bio::Perl
$ cpanm Bio::SearchIO
$ cpanm PerlIO::gzip<br /></code></pre><p><span>For more information, please visit:&nbsp;</span><a href="https://github.com/tokuhirom/plenv">https://github.com/tokuhirom/plenv</a></p><pre><code>&nbsp;</code></pre>]]></description>
	<dc:creator>biogeek</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36927/restrictiondigest-a-powerful-perl-module-for-simulating-genomic-restriction-digests</guid>
	<pubDate>Tue, 12 Jun 2018 13:17:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36927/restrictiondigest-a-powerful-perl-module-for-simulating-genomic-restriction-digests</link>
	<title><![CDATA[RestrictionDigest: A powerful Perl module for simulating genomic restriction digests]]></title>
	<description><![CDATA[RestrictionDigest can simulate the reference genome digestion and generate comprehensive information of the simulation. It can simulate single-enzyme digestion, double-enzyme digestion and size selection process. It can also analyze multiple genomes at one run and generates concise comparison of enzyme(s) performance across the genomes.

For more information, please see the academic paper published online (http://www.sciencedirect.com/science/article/pii/S071734581630001X).<p>Address of the bookmark: <a href="https://github.com/JINPENG-WANG/RestrictionDigest" rel="nofollow">https://github.com/JINPENG-WANG/RestrictionDigest</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/37592/benchmarking-perl-module</guid>
	<pubDate>Sat, 25 Aug 2018 11:40:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/37592/benchmarking-perl-module</link>
	<title><![CDATA[Benchmarking Perl Module !]]></title>
	<description><![CDATA[<p>The benchmark module is a great tool to know the time the code takes to run. The output is usually in terms of CPU time. This module provides us with a way to optimize our code. With the advent of petascale computing and other multicore processor it is becoming a neccesity to know about the CPU time taken by our perl program.</p><p>This is the simple way to use the module</p><blockquote><p>Example1:</p><p>use Benchmark;</p><p>$first_time = Benchmark-&gt;new;</p><p>our code&hellip;&hellip;</p><p>$second_time = Benchmark-&gt;new;</p><p>$final_difference = timediff($first_time,$second_time);</p><p>print &ldquo;the code took, timestr($final_difference),&rdquo;\n&rdquo;;</p></blockquote><p>that was a very simple way to know the time diff , we can use it to know the time taken by some part of the code in the program.</p><blockquote><p>More sophisticated way:</p><p>use Benchmark;<br />sub first {</p><p>my(arguments) = @_;</p><p>}</p><p>timethese(100, { first =&gt; &lsquo;first_sub(arguments)&rsquo;});</p><p>The first argument to timethese is 100 (evaluate 100 times).</p></blockquote><p>Hope this very small tutorial with Benchmark will help people get started.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41107/machine-learning-in-perl</guid>
	<pubDate>Sun, 16 Feb 2020 15:32:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41107/machine-learning-in-perl</link>
	<title><![CDATA[Machine learning in Perl]]></title>
	<description><![CDATA[<p>this is a fourth blog post in the Machine learning in Perl series, focusing on the&nbsp;<a href="https://metacpan.org/pod/AI::MXNet">AI::MXNet</a>, a Perl interface to Apache MXNet, a modern and powerful machine learning library.</p>
<p>If you're interested in refreshing your memory or just new to the series, please check previous entries over here:&nbsp;<a href="http://blogs.perl.org/users/sergey_kolychev/2017/02/machine-learning-in-perl.html">1</a>&nbsp;<a href="http://blogs.perl.org/users/sergey_kolychev/2017/04/machine-learning-in-perl-part2-a-calculator-handwritten-digits-and-roboshakespeare.html">2</a>&nbsp;<a href="http://blogs.perl.org/users/sergey_kolychev/2017/10/machine-learning-in-perl-part3-deep-convolutional-generative-adversarial-network.html">3</a></p>
<p><a href="https://metacpan.org/pod/AI::MXNet">https://metacpan.org/pod/AI::MXNet</a></p><p>Address of the bookmark: <a href="http://blogs.perl.org/users/sergey_kolychev/2018/07/machine-learning-in-perl-kyuubi-goes-to-a-modelzoo-during-the-starry-night.html" rel="nofollow">http://blogs.perl.org/users/sergey_kolychev/2018/07/machine-learning-in-perl-kyuubi-goes-to-a-modelzoo-during-the-starry-night.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2727/download-mutliple-fasta-file-from-ncbi-in-one-go</guid>
	<pubDate>Wed, 21 Aug 2013 08:13:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2727/download-mutliple-fasta-file-from-ncbi-in-one-go</link>
	<title><![CDATA[Download mutliple fasta file from NCBI in one GO!!]]></title>
	<description><![CDATA[<p>if you have less time, then use three ways mentioned in bookmark link to extract/download all fasta sequences in single click given that you already have a list of GIs or accession IDs .</p>
<p>Alternatively, use one liner perl script:</p>
<p>perl -ne 'if(/^&gt;(\S+)/){$c=$i{$1}}$c?print:chomp;$i{$_}=1 if @ARGV' GIs.txt &gt;sequence.fasta</p>
<p>where GIs.txt contains&nbsp;a list of GIs or accession IDs.</p>
<p>(from :<a href="http://edwards.sdsu.edu/labsite/index.php/robert?start=5">http://edwards.sdsu.edu/labsite/index.php/robert?start=5</a>)</p><p>Address of the bookmark: <a href="http://edwards.sdsu.edu/labsite/index.php/robert/380-ncbi-sequence-or-fasta-batch-download-using-entrez" rel="nofollow">http://edwards.sdsu.edu/labsite/index.php/robert/380-ncbi-sequence-or-fasta-batch-download-using-entrez</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/33842/awesome-perl-frameworks-libraries-and-software-part-5</guid>
	<pubDate>Fri, 07 Jul 2017 04:12:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/33842/awesome-perl-frameworks-libraries-and-software-part-5</link>
	<title><![CDATA[Awesome perl frameworks, libraries and software - PART 5]]></title>
	<description><![CDATA[<ul>
<li><a href="https://github.com/robelix/sub2srt">robelix/sub2srt</a>&nbsp;- subtitle converter</li>
<li><a href="https://github.com/reyjrar/graphite-scripts">reyjrar/graphite-scripts</a>&nbsp;- A Collections of Scripts for Working with Graphite</li>
<li><a href="https://github.com/regilero/check_nginx_status">regilero/check_nginx_status</a>&nbsp;- Nagios check for nginx status report</li>
<li><a href="https://github.com/omniti-labs/resmon">omniti-labs/resmon</a>&nbsp;- resmon</li>
<li><a href="https://github.com/motemen/App-htmlcat">motemen/App-htmlcat</a>&nbsp;- redirect stdin to web browser</li>
<li><a href="https://github.com/moose/Moo">moose/Moo</a>&nbsp;- Minimalist Object Orientation (with Moose compatibility)</li>
<li><a href="https://github.com/miyagawa/fastpass">miyagawa/fastpass</a>&nbsp;- Tiny, XS free, standalone and preforking FastCGI daemon for PSGI</li>
<li><a href="https://github.com/miyagawa/Filesys-Notify-Simple">miyagawa/Filesys-Notify-Simple</a>&nbsp;- Simple and dumb file system watcher</li>
<li><a href="https://github.com/mhop/fhem-mirror">mhop/fhem-mirror</a>&nbsp;- Branch 'master' is a read-only-mirror of svn://svn.code.sf.net/p/fhem/code which is updated once a day. On branch 'enocean' I am going to add some Enocean-Devices</li>
<li><a href="https://github.com/lopnor/Plack-App-DAV">lopnor/Plack-App-DAV</a>&nbsp;- simple DAV server for Plack</li>
<li><a href="https://github.com/kazuho/url_compress">kazuho/url_compress</a>&nbsp;- a static PPM-based URL compressor / decompressor</li>
<li><a href="https://github.com/jnthn/6model">jnthn/6model</a>&nbsp;- Just a place that I'm keeping some meta-model prototyping; anything that matters will make it to another repo (e.g. nqp-rx one or Rakudo one) at some point.</li>
<li><a href="https://github.com/jasonhancock/nagios-puppetdb">jasonhancock/nagios-puppetdb</a>&nbsp;- Nagios plugins and pnp4nagios templates related to Puppetlab's PuppetDB project.</li>
<li><a href="https://github.com/goccy/p5-Compiler-Parser">goccy/p5-Compiler-Parser</a>&nbsp;- Create Abstract Syntax Tree for Perl5</li>
<li><a href="https://github.com/cgutteridge/Grinder">cgutteridge/Grinder</a>&nbsp;- Create RDF data from spreadsheets or CSV</li>
<li><a href="https://github.com/c9s/Plack-Middleware-OAuth">c9s/Plack-Middleware-OAuth</a>&nbsp;- Plack Middleware for OAuth1 and OAuth2</li>
<li><a href="https://github.com/bzip2-cuda/bzip2-cuda">bzip2-cuda/bzip2-cuda</a>&nbsp;- Parallel implementation of bzip2 using cuda</li>
<li><a href="https://github.com/alanstevens/ChocoPackages">alanstevens/ChocoPackages</a>&nbsp;- Chocolatey Nuget Packages</li>
<li><a href="https://github.com/SoylentNews/slashcode">SoylentNews/slashcode</a>&nbsp;- The slashcode repository for SoylentNews. The initial code base was uploaded as it appeared on Sourceforge as of the last commit in September 2009</li>
<li><a href="https://github.com/Miserlou/XSS-Harvest">Miserlou/XSS-Harvest</a>&nbsp;- XSS Weaponization</li>
</ul>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39913/twinblast-when-two-is-better-than-one</guid>
	<pubDate>Sat, 07 Sep 2019 08:50:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39913/twinblast-when-two-is-better-than-one</link>
	<title><![CDATA[TwinBLAST: When Two Is Better than One]]></title>
	<description><![CDATA[<p>TwinBLAST is a web-based tool for viewing 2 BLAST reports simultaneouslyside-by-side. It uses ExtJS (www.sencha.com/products/extjs/) to provide 2independently scrollable panels. BioPerl (www.bioperl.org) is used to indexraw BLAST reports and Bio::Graphics is used to draw pictograms of the BLASThits.</p>
<p><a href="https://github.com/IGS/twinblast">https://github.com/IGS/twinblast</a></p>
<p><a href="https://mra.asm.org/content/8/35/e00842-19">https://mra.asm.org/content/8/35/e00842-19</a></p><p>Address of the bookmark: <a href="https://github.com/IGS/twinblast" rel="nofollow">https://github.com/IGS/twinblast</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26252/recombination-detection-tool</guid>
	<pubDate>Tue, 02 Feb 2016 10:11:14 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26252/recombination-detection-tool</link>
	<title><![CDATA[Recombination detection tool]]></title>
	<description><![CDATA[<p>A program to detect recombination hotspots using population genetic data.</p>
<p>More at https://github.com/auton1/LDhot</p><p>Address of the bookmark: <a href="https://github.com/auton1/LDhot" rel="nofollow">https://github.com/auton1/LDhot</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27099/rasttk-algorithm-for-building-custom-annotation-pipelines-and-annotating-batches-of-genomes</guid>
	<pubDate>Wed, 27 Apr 2016 11:07:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27099/rasttk-algorithm-for-building-custom-annotation-pipelines-and-annotating-batches-of-genomes</link>
	<title><![CDATA[RASTtk : algorithm for building custom annotation pipelines and annotating batches of genomes]]></title>
	<description><![CDATA[<p>The RAST (Rapid Annotation using Subsystem Technology) annotation engine was built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard software pipeline for identifying genomic features (i.e., protein-encoding genes and RNA) and annotating their functions. Recently, in order to make RAST a more useful research tool and to keep pace with advancements in bioinformatics, it has become desirable to build a version of RAST that is both customizable and extensible. In this paper, we describe the RAST tool kit (RASTtk), a modular version of RAST that enables researchers to build custom annotation pipelines. RASTtk offers a choice of software for identifying and annotating genomic features as well as the ability to add custom features to an annotation job. RASTtk also accommodates the batch submission of genomes and the ability to customize annotation protocols for batch submissions. This is the first major software restructuring of RAST since its inception.</p>
<p>More at http://www.nature.com/articles/srep08365</p><p>Address of the bookmark: <a href="http://rast.nmpdr.org/" rel="nofollow">http://rast.nmpdr.org/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27430/mosaik-a-hash-based-algorithm-for-accurate-next-generation-sequencing-short-read-mapping</guid>
	<pubDate>Fri, 20 May 2016 18:53:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27430/mosaik-a-hash-based-algorithm-for-accurate-next-generation-sequencing-short-read-mapping</link>
	<title><![CDATA[MOSAIK: A Hash-Based Algorithm for Accurate Next-Generation Sequencing Short-Read Mapping]]></title>
	<description><![CDATA[<p><span>MOSAIK is a stable, sensitive and open-source program for mapping second and third-generation sequencing reads to a reference genome. Uniquely among current mapping tools, MOSAIK can align reads generated by all the major sequencing technologies, including Illumina, Applied Biosystems SOLiD, Roche 454, Ion Torrent and Pacific BioSciences SMRT. Indeed, MOSAIK was the only aligner to provide consistent mappings for all the generated data (sequencing technologies, low-coverage and exome) in the 1000 Genomes Project. To provide highly accurate alignments, MOSAIK employs a hash clustering strategy coupled with the Smith-Waterman algorithm. This method is well-suited to capture mismatches as well as short insertions and deletions. To support the growing interest in larger structural variant (SV) discovery, MOSAIK provides explicit support for handling known-sequence SVs, e.g. mobile element insertions (MEIs) as well as generating outputs tailored to aid in SV discovery.</span></p><p>Address of the bookmark: <a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0090581" rel="nofollow">http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0090581</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

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