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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29992?offset=350</link>
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<item>
  <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/pages/view/37677/installing-blat-on-linux</guid>
	<pubDate>Tue, 11 Sep 2018 08:17:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/37677/installing-blat-on-linux</link>
	<title><![CDATA[Installing BLAT on Linux !]]></title>
	<description><![CDATA[<p><span>It's been a while since I last installed BLAT and when I went to the download directory at UCSC:&nbsp;</span><a href="http://users.soe.ucsc.edu/~kent/src/">http://users.soe.ucsc.edu/~kent/src/</a><span>&nbsp;I found that the latest blast is now version 35 and that the code to download was:&nbsp;</span><a href="http://users.soe.ucsc.edu/~kent/src/blatSrc35.zip">blatSrc35.zip</a><span>. However, you can also get pre-compiled binaries at:&nbsp;</span><a href="http://hgdownload.cse.ucsc.edu/admin/exe/">http://hgdownload.cse.ucsc.edu/admin/exe/</a><span>&nbsp;and that there was a linux x86_64 executable for my architecture available at:&nbsp;</span><a href="http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/blat/">http://hgdownload.cse.ucsc.edu/admin/exe/linux.x86_64/blat/</a><span>. Though YYMV, BLAT can be a little bit of a tricky beast to get going, so I decided to download the source code and compile that.</span><br /><br /><span>I will be compiling this code as 'root' as a system tool in&nbsp;</span><code>/usr/local/src</code><span>, so do not scream at me for that.</span><br /><br /><span>First I created an /usr/local/src/blat directory and I copied the blatSrc35.zip file into that.</span><br /><br /><span>Next I used</span></p><pre><code>unzip blatSrc35.zip</code></pre><p><span>to unpack the archive. This gives a directory blatSrc now move into that directory.</span></p><pre><code>#cd blatSrc</code></pre><p><span>before you begin read the README file that comes with the source code.</span><br /><br /><span>One thing about building blat is that you need to set the MACHTYPE variable so that the BLAT sources know what type of machine you are compiling the software on.</span><br /><br /><span>on most *nix machines, typing</span></p><pre><code>echo $MACHTYPE</code></pre><p><span>will return the machine architecture type.</span><br /><br /><span>On my CentOS 6 based system this gave:</span></p><pre><code>x86_64-redhat-linux-gnu</code></pre><p><span>However, what BLAT requires is the 'short value' (ie the first part of the MACHTYPE). To correct this, in the bash shell type (change this to the correct MACHTYPE for your system)</span></p><pre><code>MACHTYPE=x86_64
export MACHTYPE</code></pre><p><span>now running the command:</span></p><pre><code>echo $MACHTYPE</code></pre><p><span>should give the correct short form of the MACHTYPE:</span></p><pre><code>x86_64</code></pre><p><span>now create the directory lib/$MACHTYPE in the source tree. ie:</span></p><pre><code>mkdir lib/$MACHTYPE</code></pre><p><span>For my machine, lib/x86_64 already existed, so I did not have to do this, but this is not the case for all architectures.</span><br /><br /><span>The BLAT code assumes that you are compiling BLAT as a non-privileged (ie non-root) user. As a result, you must create the directory for the executables to go into:</span><br /><br /><span>mkdir ~/bin/$MACHTYPE</span><br /><br /><span>If you are installing as a normal user, edit your .bashrc to add the following (change the x86_64 to be your MACHTYPE):</span><br /><br /><span>export PATH=~/bin/x86_64::$PATH</span><br /><br /><span>For me, though, this was not good enough. I wanted the executables in /usr/local/bin where all my other code goes. As a result I did some hackery...</span><br /><br /><span>There is a master make template in the&nbsp;</span><code>inc</code><span>&nbsp;directory called&nbsp;</span><code>common.mk</code><span>&nbsp;and I edited this file with the command:</span><br /><br /><span>vi inc/common.mk</span><br /><br /><span>I replaced the line</span></p><pre><code>    BINDIR=${HOME}/bin/${MACHTYPE}</code></pre><p><span>with</span></p><pre><code>    BINDIR=/usr/local/bin</code></pre><p><span>saved and quit (as this is in my path, I do not need to do anything else)</span><br /><br /><span>All the preparation is now done and you can create the blat executables by going into the toplevel of the blat source tree (for me it was&nbsp;</span><code>/usr/local/src/blat/blatSrc</code><span>, but change to wherever you unpacked blat into).</span><br /><br /><span>Now simply run the command:</span></p><pre><code>make</code></pre><p><span>to compile the code.</span><br /><br /><span>Blat installed cleanly and the executables were all neatly placed in /usr/local/bin/x86_64, just like I wanted.</span><br /><br /><span>now simply running the command:</span></p><pre><code>blat</code></pre><p><span>on the command line gives me information on blat and sample usage.</span><br /><br /><span>Blat is installed and it's installed properly in my system code tree!!!</span></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40212/kalign-fast-multiple-sequence-alignment-program-for-biological-sequences</guid>
	<pubDate>Fri, 01 Nov 2019 00:20:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40212/kalign-fast-multiple-sequence-alignment-program-for-biological-sequences</link>
	<title><![CDATA[Kalign: fast multiple sequence alignment program for biological sequences.]]></title>
	<description><![CDATA[<p><span>Kalign is a fast multiple sequence alignment program for biological sequences.</span></p>
<p>Align sequences and output the alignment in MSF format:</p>
<pre><code>kalign -i BB11001.tfa -f msf  -o out.msf
</code></pre>
<p>Align sequences and output the alignment in clustal format:</p>
<pre><code>kalign -i BB11001.tfa -f clu -o out.clu
</code></pre>
<p>Re-align sequences in an existing alignment:</p>
<pre><code>kalign -i BB11001.msf  -o out.afa
</code></pre>
<p>Reformat existing alignment:</p>
<pre><code>kalign -i BB11001.msf -r afa -o out.afa</code></pre><p>Address of the bookmark: <a href="https://github.com/TimoLassmann/kalign" rel="nofollow">https://github.com/TimoLassmann/kalign</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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<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/42150/parallellastz-lastz-with-multi-threads-support</guid>
	<pubDate>Sat, 22 Aug 2020 05:58:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42150/parallellastz-lastz-with-multi-threads-support</link>
	<title><![CDATA[parallelLastz: Lastz with multi-threads support.]]></title>
	<description><![CDATA[<p>Running Lastz (<a href="https://github.com/lastz/lastz">https://github.com/lastz/lastz</a>) in parallel mode. This program is for single computer with multiple core processors.</p>
<p>When the query file format is fasta, you can specify many threads to process it. It can reduce run time linearly, and use almost equal memory as the original lastz program. This is useful when you lastz a big query file to a huge reference like human whole genome sequence.</p>
<p>The program is an extension on the original lastz program which was written by Bob Harris (the LASTZ guy).</p><p>Address of the bookmark: <a href="https://github.com/jnarayan81/parallelLastz" rel="nofollow">https://github.com/jnarayan81/parallelLastz</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29280/nemo-%E2%80%93-a-stochastic-individual-base-genetically-explicit-simulation-platform</guid>
	<pubDate>Sat, 01 Oct 2016 14:45:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29280/nemo-%E2%80%93-a-stochastic-individual-base-genetically-explicit-simulation-platform</link>
	<title><![CDATA[Nemo – A stochastic, individual-base, genetically explicit simulation platform]]></title>
	<description><![CDATA[<ul>
<li>
<p>A&nbsp;<strong>recombination map</strong>&nbsp;has been added for all multi-locus traits. The map positions (chromosomal) for neutral markers (e.g. SNPs) and loci under selection (QTLs, deleterious mutations, DMIs) can now be specified explicitly, or set at random. The map can hold an unlimited number of loci of different types jointly, at any recombination scale (cM or lower). The effects of linkage can thus be finely explored.</p>
</li>
<li>
<p>A new trait coding for (Bateson-)<strong>Dobzhansky-Muller incompatibility loci</strong>. Multiple haploid or diploid pairs of incompatible loci can be spread throughout the genome and affect individual fitness.</p>
</li>
<li>
<p><strong>Multi-type selection</strong>:&nbsp;<a href="http://nemo2.sourceforge.net/classIndividual.html" title="This class contains traits along with other individual information (sex, pedigree, etc. ).">Individual</a>&nbsp;fitness can be jointly determined by different types of loci under selectinon, such as QTLs coding for quantitative traits under spatially variable selection, universally deleterious mutations, and Dobzhansky-Muller incompatibility loci.</p>
</li>
<li>
<p><strong>An unlimited number of quantitative traits</strong>&nbsp;under different forms of selection can be modelled, based on universally pleiotropic loci with several bi- or multi-allelic models.</p>
</li>
<li>
<p><strong>Spatial and temporal variation of selection</strong>&nbsp;on quantitative traits is possible, modelling shifts of environmental conditions over time.</p>
</li>
<li>
<p>The dispersal matrix describing the movement of individuals among sub-populations can be replaced by a connectivity matrix and a reduced dispersal matrix describing migration only among the connected sub-populations. This offers a substantial gain in computing time and system memory when simulating very large grids.</p>
</li>
<li>
<p>Input parameters' arguments may be specified in separate files. This is particularly convenient when specifying large matrices.</p>
</li>
<li>
<p>Many adjustments have been made for refined control of the input of parameters and data output. See updates in the manual.</p>
</li>
</ul><p>Address of the bookmark: <a href="http://nemo2.sourceforge.net/index.html" rel="nofollow">http://nemo2.sourceforge.net/index.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44887/alfapang-alignment-free-algorithm-for-pangenome-graph-construction</guid>
	<pubDate>Thu, 28 Aug 2025 02:56:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44887/alfapang-alignment-free-algorithm-for-pangenome-graph-construction</link>
	<title><![CDATA[AlfaPang: alignment free algorithm for pangenome graph construction]]></title>
	<description><![CDATA[<p><span>AlfaPang constructs variation graphs, leveraging its alignment-free and reference-free approach, based solely on intrinsic sequence properties. This design allows AlfaPang's runtime and memory usage to scale linearly with the size of input sequences, enabling it to handle significantly larger genome sets compared to other methods.</span></p><p>Address of the bookmark: <a href="https://github.com/AdamCicherski/AlfaPang" rel="nofollow">https://github.com/AdamCicherski/AlfaPang</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<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>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29574/beagle</guid>
	<pubDate>Thu, 27 Oct 2016 11:19:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29574/beagle</link>
	<title><![CDATA[Beagle]]></title>
	<description><![CDATA[<p>Beagle is a software package that performs genotype calling, genotype phasing, imputation of ungenotyped markers, and identity-by-descent segment detection.</p>
<p>Beagle version 4.1 has a more accurate genotype phasing algorithm and a very fast and accurate genotype imputation algorithm. Version 4.1 also has several changes to the command line arguments which are described in the&nbsp;<a href="http://faculty.washington.edu/browning/beagle/release_notes" target="_blank">release notes</a>. The "ped" argument has no effect in version 4.1. If your data contains nuclear families and you want to model the parent-offspring relationships when phasing genotypes, please use&nbsp;<a href="https://faculty.washington.edu/browning/beagle/b4_0.html">version 4.0</a>.</p>
<p>If you use Beagle 4.1 in a published analysis, please report the program version and cite the appropriate article.</p>
<p>The citation for Beagle's phasing algorithm is:</p>
<p>S R Browning and B L Browning (2007) Rapid and accurate haplotype phasing and missing data inference for whole genome association studies by use of localized haplotype clustering. Am J Hum Genet 81:1084-1097.<a href="http://dx.doi.org/doi:10.1086/521987" target="_blank">doi:10.1086/521987</a></p>
<p>The citation for Beagle's genotype imputation algorithm is:</p>
<p>B L Browning and S R Browning (2016). Genotype imputation with millions of reference samples. Am J Hum Genet 98:116-126.<a href="http://dx.doi.org/doi:10.1016/j.ajhg.2015.11.020" target="_blank">doi:10.1016/j.ajhg.2015.11.020</a></p>
<p>The citation for Beagle's IBD detection algorithm is:</p>
<p>B L Browning and S R Browning (2013). Improving the accuracy and efficiency of identity-by-descent detection in population data. Genetics 194(2):459-71.<a href="http://dx.doi.org/doi:10.1534/genetics.113.150029" target="_blank">doi:10.1534/genetics.113.150029</a></p><p>Address of the bookmark: <a href="http://faculty.washington.edu/browning/beagle/beagle.html" rel="nofollow">http://faculty.washington.edu/browning/beagle/beagle.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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