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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/38205?offset=40</link>
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	<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/34567/jobtree-based-python-wrapper-to-run-the-genome-simulation-tool-suite-evolver</guid>
	<pubDate>Fri, 08 Dec 2017 16:26:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34567/jobtree-based-python-wrapper-to-run-the-genome-simulation-tool-suite-evolver</link>
	<title><![CDATA[jobTree based python wrapper to run the genome simulation tool suite Evolver]]></title>
	<description><![CDATA[<p><span>evolverSimControl</span><span>&nbsp;(</span><span>eSC</span><span>) can be used to simulate multi-chromosome genome evolution on an arbitrary phylogeny (</span><a href="http://evolution.genetics.washington.edu/phylip/newicktree.html">Newick format</a><span>). In addition to simply running evolver,&nbsp;</span><span>eSC</span><span>&nbsp;also automatically creates statistical summaries of the simulation as it runs including text and image files. Also included are convenience scripts to: check on a running simulation and see detailed status and logging information; extract fasta sequence files from the leaf nodes of a completed simulation; extract pairwise multiple alignment files (</span><a href="http://genome.ucsc.edu/FAQ/FAQformat.html#format5">.maf</a><span>) from leaf and branch nodes from a completed simulation and with the help of&nbsp;</span><a href="https://github.com/dentearl/mafTools/">mafJoin</a><span>, join them together into a single maf covering the entire simulation.</span></p><p>Address of the bookmark: <a href="https://github.com/dentearl/evolverSimControl" rel="nofollow">https://github.com/dentearl/evolverSimControl</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26380/hicdat</guid>
	<pubDate>Fri, 12 Feb 2016 05:23:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26380/hicdat</link>
	<title><![CDATA[HiCdat]]></title>
	<description><![CDATA[<p>HiCdat: a fast and easy-to-use Hi-C data analysis tool</p>
<p>HiCdat is easy-to-use and provides solutions starting from aligned reads up to in-depth analyses. Importantly, HiCdat is focussed on the analysis of larger structural features of chromosomes, their correlation to genomic and epigenomic features, and on comparative studies. It uses simple input and output formats and can therefore easily be integrated into existing workflows or combined with alternative tools.</p>
<p>More at http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0678-x</p><p>Address of the bookmark: <a href="https://github.com/MWSchmid/HiCdat" rel="nofollow">https://github.com/MWSchmid/HiCdat</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/989/bioinformatics-approach-to-boar-taint</guid>
	<pubDate>Wed, 17 Jul 2013 15:50:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/989/bioinformatics-approach-to-boar-taint</link>
	<title><![CDATA[Bioinformatics approach to Boar Taint]]></title>
	<description><![CDATA[<p><span>Meat products obtained from intact male pigs often produce offensive smell or odour which is recognized as a complex genetic trait called boar taint.Androstenone and Skatole&nbsp;in the fat primarily cause boar taint. Metabolism of androstenone and sex steroids share a common pathway which makes removal of boar taint a very challenging task. Castration is a traditional solution to remove boar taint but it also results in bad quality of meat due to low level of steroids which is objectionable to many consumers. Detected functional variant(s) underlying boar taint compounds can be used as genetic markers in selection of male pigs with reduced boar taint levels. Resequencing of a total of 47 samples belong to Norwegian Landrace (NL) and Duroc (D) pigs with varied boar taint levels were done in Illumina HiSeq2000 to &gt;10X average coverage. Short reads generated from these samples mapped to&nbsp;<em>Sus Scrofa</em>&nbsp;version 10.2 reference assembly using Bowtie2. Alignment file then used for calling SNPs and InDels inside previousy identified QTL regions on SSC5,13, and 7 with the aid of FreeBayes , a variant caller tool. A final list of SNPs was prepared after filtering SNPs on the basis of SNP quality, coverage of SNP allele, functional and structural annotation, and repeats, etc. Selected SNPs will be genotyped in sample population for validation and then used for constructing SNPs haplotypes in close linkage disequilibrium with QTLs and fine mapping of QTLs through association mapping of genotyped SNPs.</span><span>&nbsp;</span></p><p><span>&nbsp;</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/989" length="19688" type="image/jpeg" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/view/1926</guid>
	<pubDate>Sun, 11 Aug 2013 11:42:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/1926</link>
	<title><![CDATA[Want to Know which genome assembler rule the world ?]]></title>
	<description><![CDATA[<p><span><strong>Assemblathon 2</strong>: evaluating de novo methods of genome assembly&nbsp;</span></p><p><span><a href="http://www.gigasciencejournal.com/content/2/1/10/abstract">http://www.gigasciencejournal.com/content/2/1/10/abstract</a></span></p><p><span><a href="http://blogs.nature.com/news/2013/07/genome-assembly-contest-prompts-soul-searching.html">http://blogs.nature.com/news/2013/07/genome-assembly-contest-prompts-soul-searching.html</a></span></p><p><a href="http://assemblathon.org/post/44431915644/feedback-and-analysis-of-the-assemblathon-2-p">http://assemblathon.org/post/44431915644/feedback-and-analysis-of-the-assemblathon-2-p</a></p><p>&nbsp;</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4195/barber-pole-worm-sheep-pathogen-sequenced</guid>
	<pubDate>Tue, 03 Sep 2013 16:32:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4195/barber-pole-worm-sheep-pathogen-sequenced</link>
	<title><![CDATA[Barber pole worm , sheep pathogen sequenced !!!]]></title>
	<description><![CDATA[<p>Haemonchus contortus is a highly pathogenic parasitic nematode of that can infect a large number of wild and domesticated ruminant species and is the most economically important parasite of sheep and goats worldwide. Scientists at the Wellcome Trust Sanger Institute have sequenced the genome of the barber's pole worm (Haemonchus contortus), which will help to explore the this tropical parasite which&nbsp;been disseminated around the world by livestock movement.&nbsp;</p><p>H. contortus is a member of the superfamily trichostrongyloidea (Strongylida) which contains most of the economically important parasitic nematodes of grazing livestock. These parasites cost the global livestock industry billions of dollars per annum in lost production and drug costs.&nbsp;A common type of clover may be a preventative or palliative for the disease. However, some particular breeds of sheep, such as the Gulf Coast Native from the Southern United States, have been shown to have developed special resistance to H. contortus.</p><p>Getting the full genome can help to tackle the problem and understand the resistance mechanism with an ease. Moreover, the genome could now provide a comprehensive understanding of how treatments against parasitic worms work and point to further new treatments and vaccines.&nbsp;By comparing the genome of the barber's pole worm with those of worms that have acquired drug resistance, researchers expect to reveal information about how and why resistance has occurred. Till now, researchers have uncovered essential information in the fight against drug resistance in worms.</p><p>Reference:</p><p><a href="http://www.fwi.co.uk/articles/28/08/2013/140758/researchers-close-in-on-worm-resistance-in-sheep.htm">http://www.fwi.co.uk/articles/28/08/2013/140758/researchers-close-in-on-worm-resistance-in-sheep.htm</a></p><p><a href="http://www.sciencedaily.com/releases/2013/08/130828103351.htm?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+sciencedaily%2Fplants_animals+(ScienceDaily%3A+Plants+%26+Animals+News)">http://www.sciencedaily.com/releases/2013/08/130828103351.htm?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+sciencedaily%2Fplants_animals+(ScienceDaily%3A+Plants+%26+Animals+News)</a></p><p>Image source: Wikipedia</p><p><img src="http://upload.wikimedia.org/wikipedia/commons/8/8e/Haemonchus_contortus.jpg" alt="image" width="800" height="533" style="border: 0px; border: 0px;"></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/6896/dna-tale-of-3-to-4-years-old-serbia-boy</guid>
	<pubDate>Tue, 26 Nov 2013 17:34:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/6896/dna-tale-of-3-to-4-years-old-serbia-boy</link>
	<title><![CDATA[DNA tale of 3 to 4 years old Serbia boy]]></title>
	<description><![CDATA[<p><span>The genome of a young boy found underground at Mal&rsquo;ta near Lake Baikal of eastern Siberia around 24,000 years ago came out as close relative of Europeans and Native Indians.</span></p><p><span>Link:</span></p><p><span><a href="http://www.nytimes.com/2013/11/21/science/two-surprises-in-dna-of-boy-found-buried-in-siberia.html?_r=0">http://www.nytimes.com/2013/11/21/science/two-surprises-in-dna-of-boy-found-buried-in-siberia.html?_r=0</a></span></p><p>&nbsp;</p><p><a href="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature12736.html">http://www.nature.com/nature/journal/vaop/ncurrent/full/nature12736.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10237/genome-of-rainbow-trout-sequenced</guid>
	<pubDate>Fri, 25 Apr 2014 10:36:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10237/genome-of-rainbow-trout-sequenced</link>
	<title><![CDATA[Genome of Rainbow Trout Sequenced]]></title>
	<description><![CDATA[<p>Major finding:</p><p><span>&ldquo;In humans and most vertebrates the duplication events were older so there are fewer duplicated genes still present. Most of the duplicated genes get lost or modified so much that they are no longer recognizable as duplicates over time. In the trout and salmon we can see an earlier stage in the process and many duplicated genes are still present,&rdquo; said Dr Gary Thorgaard of Washington State University, a co-author of the paper published in the journal Nature Communications.</span></p><p><span>Source:</span></p><p><span>http://www.sci-news.com/genetics/science-genome-rainbow-trout-01877.html</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10378/real-time-sequencing</guid>
	<pubDate>Sun, 04 May 2014 18:16:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10378/real-time-sequencing</link>
	<title><![CDATA[Real time Sequencing]]></title>
	<description><![CDATA[<p><span>&ldquo;... we now know we can do high-throughput sequencing at any location on Earth,&rdquo; Moroz said.</span></p><p><span>Source:</span></p><p><span>http://news.ufl.edu/2014/04/28/real-time-genome-sequencing-at-sea/</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/11365/drawback-of-exome-sequencing</guid>
	<pubDate>Mon, 02 Jun 2014 05:46:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/11365/drawback-of-exome-sequencing</link>
	<title><![CDATA[Drawback of Exome Sequencing]]></title>
	<description><![CDATA[<p><span><span>Dr Eric Londin, Assistant Professor, Thomas Jefferson University, USA, stated that analysis of 44 exome datasets from four different testing kits showed that they missed a high proportion of clinically relevant regions in the 56 ACMG genes. "At least one gene in each exome method was missing more than 40 percent of disease-causing genetic variants, and we found that the worst-performing method missed more than 90 percent of such variants in four of the 56 genes," he says.</span><br /></span></p><p><span><strong>Source</strong>:&nbsp;http://www.eurekalert.org/pub_releases/2014-05/esoh-pco052914.php</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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