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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/37509?offset=70</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34490/collinearity-scripts-to-parse-and-analyse-mcscanx-collinearity-output</guid>
	<pubDate>Wed, 29 Nov 2017 16:47:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34490/collinearity-scripts-to-parse-and-analyse-mcscanx-collinearity-output</link>
	<title><![CDATA[collinearity: scripts to parse and analyse MCScanX collinearity output]]></title>
	<description><![CDATA[<p><span>scripts to parse and analyse MCScanX collinearity output</span></p><p>Address of the bookmark: <a href="https://github.com/reubwn/collinearity" rel="nofollow">https://github.com/reubwn/collinearity</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36736/checkmassessing-the-quality-of-microbial-genomes-recovered-from-isolates-single-cells-and-metagenomes</guid>
	<pubDate>Wed, 23 May 2018 04:39:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36736/checkmassessing-the-quality-of-microbial-genomes-recovered-from-isolates-single-cells-and-metagenomes</link>
	<title><![CDATA[CheckM:Assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes]]></title>
	<description><![CDATA[<p><span>CheckM provides a set of tools for assessing the quality of genomes recovered from isolates, single cells, or metagenomes. It provides robust estimates of genome completeness and contamination by using collocated sets of genes that are ubiquitous and single-copy within a phylogenetic lineage. Assessment of genome quality can also be examined using plots depicting key genomic characteristics (e.g., GC, coding density) which highlight sequences outside the expected distributions of a typical genome. CheckM also provides tools for identifying genome bins that are likely candidates for merging based on marker set compatibility, similarity in genomic characteristics, and proximity within a reference genome tree.</span></p><p>Address of the bookmark: <a href="http://ecogenomics.github.io/CheckM/" rel="nofollow">http://ecogenomics.github.io/CheckM/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28855/vcfr</guid>
	<pubDate>Fri, 19 Aug 2016 07:38:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28855/vcfr</link>
	<title><![CDATA[vcfR]]></title>
	<description><![CDATA[<p><span>Most variant calling pipelines result in files containing large quantities of variant information. The&nbsp;</span><a href="http://samtools.github.io/hts-specs/" title="VCF format at hts-specs">variant call format (vcf)</a><span>&nbsp;is an increasingly popular format for this data. The format of these files and their content is discussed in the vignette &lsquo;vcf data.&rsquo; These files are typically intended to be post-processed (i.e., filtered) as an attempt to remove false positives or otherwise problematic sites. The R package vcfR provides tools to facilitate this filtering as well as to visualize the effects of choices made during this process.</span></p><p>Address of the bookmark: <a href="https://cran.r-project.org/web/packages/vcfR/vignettes/visualization_1.html" rel="nofollow">https://cran.r-project.org/web/packages/vcfR/vignettes/visualization_1.html</a></p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42572/the-breeding-api-brapi-project</guid>
	<pubDate>Wed, 06 Jan 2021 19:51:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42572/the-breeding-api-brapi-project</link>
	<title><![CDATA[The Breeding API (BrAPI) project]]></title>
	<description><![CDATA[<p><span>The Breeding API (BrAPI) project is an effort to enable interoperability among plant breeding databases. BrAPI is a standardized RESTful web service API specification for communicating plant breeding data. This community driven standard is free to be used by anyone interested in plant breeding data management.</span></p><p>Address of the bookmark: <a href="https://brapi.org/" rel="nofollow">https://brapi.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41487/tinycov-standalone-command-line-utility-written-in-python-to-plot-coverage-from-a-bam-file</guid>
	<pubDate>Mon, 23 Mar 2020 06:22:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41487/tinycov-standalone-command-line-utility-written-in-python-to-plot-coverage-from-a-bam-file</link>
	<title><![CDATA[tinycov: standalone command line utility written in python to plot coverage from a BAM file]]></title>
	<description><![CDATA[<p>Tinycov is a small standalone command line utility written in python to plot the coverage of a BAM file quickly. This software was inspired by&nbsp;<a href="https://github.com/matted/genome_coverage_plotter">Matt Edwards' genome coverage plotter</a>.</p>
<p>To install the stable version:&nbsp;<code>pip3 install --user tinycov</code></p>
<p>To install the development version:</p>
<pre><code>git clone https://github.com/cmdoret/tinycov.git
cd tinycov
pip install .</code></pre><p>Address of the bookmark: <a href="https://github.com/cmdoret/tinycov" rel="nofollow">https://github.com/cmdoret/tinycov</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34922/camsa-a-tool-for-comparative-analysis-and-merging-of-scaffold-assemblies</guid>
	<pubDate>Thu, 28 Dec 2017 09:10:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34922/camsa-a-tool-for-comparative-analysis-and-merging-of-scaffold-assemblies</link>
	<title><![CDATA[CAMSA :: a tool for Comparative Analysis and Merging of Scaffold Assemblies]]></title>
	<description><![CDATA[<p>CAMSA &ndash; is a tool for&nbsp;<span>C</span>omparative&nbsp;<span>A</span>nalysis and&nbsp;<span>M</span>erging of&nbsp;<span>S</span>caffold&nbsp;<span>A</span>ssemblies, distributed both as a standalone software package and as Python library under the MIT license.</p>
<p>Main features:</p>
<ol>
<li>works with any number of scaffold assemblies in de-novo non-progressive fashion</li>
<li>allows to simultaneously work with scaffold assemblies obtained from any&nbsp;<em>in silico</em>&nbsp;and&nbsp;<em>in vitro</em>&nbsp;techniques, supporting multiple existing formats via built-in converters</li>
<li>creates an extensive report with several comparative quality metrics (both on assembly level and on the level of individual assembly points)</li>
<li>constructs a merged combined scaffold assembly</li>
<li>provides an interactive framework for a visual comparative analysis of the given assemblies</li>
</ol><p>Address of the bookmark: <a href="https://cblab.org/camsa/" rel="nofollow">https://cblab.org/camsa/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/396/bioinformatics-introduction-to-perl</guid>
	<pubDate>Thu, 11 Jul 2013 09:49:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/396/bioinformatics-introduction-to-perl</link>
	<title><![CDATA[Bioinformatics: Introduction to PERL]]></title>
	<description><![CDATA[<p>This course is aimed at those new to programming and provides an introduction to programming using <strong>Perl</strong>. By the end of this course, attendees should be able to write simple <strong>Perl</strong> programs and to understand more complex <strong>Perl</strong> programs written by others. The course will be taught using the online <a href="http://sofiarobb.com/learning-perl-toc/" title="http://sofiarobb.com/learning-perl-toc/">Learning Perl</a> materials created by <a href="http://stajich.bioinformatics.ucr.edu/members/sofia-robb" title="http://stajich.bioinformatics.ucr.edu/members/sofia-robb">Sofia Robb</a> of the <a href="http://www.ucr.edu/" title="http://www.ucr.edu/">University of California Riverside</a>. Further information is <a href="http://ruddles.bio.cam.ac.uk/%7Edpjudge/Descriptions/PERL.php" title="http://ruddles.bio.cam.ac.uk/~dpjudge/Descriptions/PERL.php">available</a>.</p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/1182/installing-perl-gd-module</guid>
	<pubDate>Mon, 22 Jul 2013 14:02:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/1182/installing-perl-gd-module</link>
	<title><![CDATA[Installing Perl GD Module]]></title>
	<description><![CDATA[<div><p>In comparative genome analysis work, we usually compare more than two genomes and looks for syntenic regions amongst them. In my research I used Evolution Highway (RH) <a href="http://eh-demo.ncsa.uiuc.edu/">http://eh-demo.ncsa.uiuc.edu/</a>, which is a collaborative project designed to provide a visual means for simultaneously comparing genomes of multiple amniote species. The tool removes the burden of manually aligning these maps and allows cognitive skills to be used toward something more valuable than preparation and transformation of data. In addition to EH, attractive Circos (<a href="http://circos.ca/">http://circos.ca/</a>) is also very popular for this kind of analysis.</p><p>The EH is available online, and can be easily access and use, whereas Circos installation is not entirely straightforward. One of the most difficult parts of the installation involves installing the GD library. Since there weren't good instructions for installing this library on the internet I decided to post instructions here in case they are useful to anyone else.</p><p><strong>Following are the steps to install GD modules in Mac OS</strong><br /><br />1. Setup<br /><br />Create a folder for the files:<br /><br />$ mkdir -p /SourceCache<br />$ cd /SourceCache<br /><br />Get and unpack the required Jpeg-6b and GD libraries:<br />Download Jpeg-6b (<a href="http://code.google.com/p/google-desktop-for-linux-mirror/downloads/detail?name=jpeg-6b.tar.gz&amp;can=2&amp;q">http://code.google.com/p/google-desktop-for-linux-mirror/downloads/detail?name=jpeg-6b.tar.gz&amp;can=2&amp;q</a>)<br />Download GD (<a href="http://search.cpan.org/%7Elds/GD-2.46/">http://search.cpan.org/~lds/GD-2.46/</a>)<br /><br />Place the "tar.gz" files in "/SourceCache" and double click to unpack.<br /><br />2. Install libjpeg<br /><br />Copy the "config.sub" and "config.guess" files to "/SourceCache". Note that your "config.sub" and ""config.guess" files may be in a slightly different location. The commands below show where they were on my machine:<br /><br />$ cd /SourceCache/jpeg-6b/src<br />$ cp /usr/share/libtool/config/config.sub .<br />$ cp /usr/share/libtool/config/config.guess .<br /><br />Configure libjpeg as follows. Note that this was installed on a 64 bit machine. However, this method may configure it in a 32 bit format. This may not be the best way to configure the installation but it works.<br /><br />$ .configure --enable-shared<br />$ make<br /><br />Check to see if the following directories exist on your machine. Create the missing directories in the following manner:<br /><br />$ mkdir -p /usr/local/include<br />$ mkdir -p /usr/local/bin<br />$ mkdir -p /usr/local/lib<br />$ mkdir -p /usr/local/man/man1<br /><br />Finish making and installing libjpeg:<br /><br />$ make install<br /><br />3. Install GD<br /><br />$ cd /SourceCache/GD-2.46/GD/<br />$ perl Makefile.PL<br />$ make<br />$ make test (optional)<br />$ make html (optional)<br />$ make install</p><p><strong>Other way for Mac OS</strong><br />The easiest way to get a lot of these is with a program called Fink, which is similar in nature to the CPAN installer, but installs common GNU utilities. Fink is available from &lt;<a href="http://sourceforge.net/projects/fink/%3E">http://sourceforge.net/projects/fink/&gt;</a>.<br /><br />Follow the instructions for setting up Fink. Once it's installed, you'll want to run the following as root: fink install gd<br /><br />It will prompt you for a number of dependencies, type 'y' and hit enter to install all of the dependencies. Then watch it work.<br /><br />To prevent creating conflicts with the software that Apple installs by default, Fink creates its own directory tree at /sw where it installs most of the software that it installs. This means your libraries and headers for libgd will be at /sw/lib and /sw/include instead of /usr/lib and /usr/local/include. Because of these changed locations for the libraries, the Perl GD module will not install directly via CPAN, because it looks for the specific paths instead of getting them from your environment. But there's a way around that :-)<br /><br />Instead of typing "install GD" at the cpan&gt; prompt, type look GD. This should go through the motions of downloading the latest version of the GD module, then it will open a shell and drop you into the build directory. Apply below patch to the Makefile.PL file (save the patch into a file and use the command patch &lt; patchfile.)<br /><br />Then, run these commands to finish the installation of the GD module:<br /><br />perl Makefile.PL<br />make<br />make test<br />make install<br />And don't forget to run exit to get back to CPAN.</p><p>&nbsp;</p><p><strong>Install on MS Window, using PPM</strong></p><p>C:\Documents and Settings\Owner&gt;ppm<br />PPM interactive shell (2.2.0) - type 'help' for available commands.<br />PPM&gt; install GD<br />Install package 'GD?' (y/N): y<br />Installing package 'GD'...<br />Downloading <a href="http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW">http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW</a>. ...<br />Installing C:\Perl\site\lib\auto\GD\GD.bs<br />Installing C:\Perl\site\lib\auto\GD\GD.dll<br />Installing C:\Perl\site\lib\auto\GD\GD.exp<br />Installing C:\Perl\site\lib\auto\GD\GD.lib<br />Installing C:\Perl\html\site\lib\GD.html<br />Installing C:\Perl\site\lib\GD.pm<br />Installing C:\Perl\site\lib\qd.pl<br />Installing C:\Perl\site\lib\auto\GD\autosplit.ix<br />PPM&gt;<br /><br /><br />If you can't install it from ppm. You can download it:<br /><a href="http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW">http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW</a>.<br /><br /><br />BTW,All Perl 5.6.1 Modules are located at:<br /><br /><a href="http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW">http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW</a>.</p><p>&nbsp;</p><p><strong>Install the Perl GD Module on Linux</strong><br /><br />$ sudo perl -MCPAN -e shell<br /><br />Since it was the first time I had run this command on this particular machine I had to answer a lot of questions but simply selected the defaults for everything as this usually works for me. Once in the CPAN shell I entered<br /><br />$ install Bundle::CPAN<br /><br />and selected all of the defaults again. Once the CPAN bundle had finished installing I tried to install GD::Graph by typing<br /><br />$ install GD::Graph<br /><br />but it failed with hundreds of errors &ndash; the first of which was<br /><br />GD.xs:7:16: error: gd.h: No such file or directory<br /><br />This was fixed with the following apt-get command (in the bash shell)<br /><br />$ sudo apt-get install libgd2-xpm-dev<br /><br />back in the CPAN shell I still couldn&rsquo;t get GD::Graph to build and I guessed this was because of some left over files from the failed build. I don&rsquo;t know the command to clean things up inside the CPAN shell and am too lazy to read the docs so I simply went into the .cpan/build directory in my home directory and deleted anything that started with GD &ndash; eg<br /><br />$ rm -rf GD-2.35-HC_vkB<br /><br />$ rm -rf GDGraph-1.44-Evfibe<br /><br />and so on. Those strings at the end (VkB and so on) look random so they might be different on your machine. Then I went back into the CPAN shell and ran<br /><br />$ install GD::Graph<br /><br />There were a few dependencies which the script fetched and installed for me but everything worked smoothly.</p><p>Manual and other Perl Module instalation are mentioned in my previous blog @ <a href="http://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways">http://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways</a></p></div>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2376/citrus-perl</guid>
	<pubDate>Wed, 14 Aug 2013 14:57:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2376/citrus-perl</link>
	<title><![CDATA[Citrus Perl]]></title>
	<description><![CDATA[<p>Citrus Perl is a binary distribution of Perl created for GUI application developers. The distribution includes <a href="http://wxperl.sourceforge.net">wxPerl</a>, the Perl wrapper for <a href="http://www.wxwidgets.org">wxWidgets</a>. Where supported by the operating system wxWidgets is available as a package for the 2.8.x stable branch and the 2.9.x development branch.</p><p>Address of the bookmark: <a href="http://www.citrusperl.com/" rel="nofollow">http://www.citrusperl.com/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4037/perl-and-bioperl-tutorials</guid>
	<pubDate>Wed, 28 Aug 2013 05:51:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4037/perl-and-bioperl-tutorials</link>
	<title><![CDATA[Perl and BioPerl Tutorials]]></title>
	<description><![CDATA[<p>This bookmark is created to store the useful Perl and BioPerl tutorial links at one place. Feel free to share and add more useful tutorial links here ....&nbsp;</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://cbb.sjtu.edu.cn/course/database/beginning.pdf" rel="nofollow">http://cbb.sjtu.edu.cn/course/database/beginning.pdf</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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