<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/41592?offset=220</link>
	<atom:link href="https://bioinformaticsonline.com/related/41592?offset=220" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42900/svardal-lab</guid>
  <pubDate>Sat, 20 Feb 2021 10:01:19 -0600</pubDate>
  <link></link>
  <title><![CDATA[Svardal lab]]></title>
  <description><![CDATA[
<p>In the Svardal lab they are interested how the astonishing natural diversity we see on earth came into being, by which forces it formed and how it is changing today. Hence, they are trying to understand the process of evolution, with mathematical models and through the analysis of genome sequencing data.</p>

<p>Genomes, and in particular differences between them, are a crucial source of information to understand evolution and biology in general. They provide a record of the evolutionary past of populations, their relatedness patterns, their demography, and their adaptations.</p>

<p>More at https://www.uantwerpen.be/en/staff/hannes-svardal/svardal-lab/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43112/calling-variants-in-non-diploid-systems</guid>
	<pubDate>Sat, 26 Jun 2021 15:37:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43112/calling-variants-in-non-diploid-systems</link>
	<title><![CDATA[Calling variants in non-diploid systems]]></title>
	<description><![CDATA[<p><span>The main challenge associated with non-diploid variant calling is the difficulty in distinguishing between the sequencing noise (abundant in all NGS platforms) and true low frequency variants. Some of the early attempts to do this well have been accomplished on human mitochondrial&nbsp;</span><span>DNA</span><span>&nbsp;although the same approaches will work equally good on viral and bacterial genomes (</span><a href="https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html#Rebolledo-Jaramillo2014">Rebolledo-Jaramillo&nbsp;<em>et al.</em>&nbsp;2014</a><span>,&nbsp;</span><a href="https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html#Li2015">Li&nbsp;<em>et al.</em>&nbsp;2015</a><span>).</span></p><p>Address of the bookmark: <a href="https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html" rel="nofollow">https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43766/genometools-the-versatile-open-source-genome-analysis-software</guid>
	<pubDate>Wed, 02 Feb 2022 04:00:21 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43766/genometools-the-versatile-open-source-genome-analysis-software</link>
	<title><![CDATA[GenomeTools: The versatile open source genome analysis software]]></title>
	<description><![CDATA[<p>The&nbsp;<em>GenomeTools</em>&nbsp;genome analysis system is a&nbsp;<a href="http://genometools.org/license.html">free</a>&nbsp;collection of bioinformatics&nbsp;<a href="http://genometools.org/tools.html">tools</a>&nbsp;(in the realm of genome informatics) combined into a single binary named&nbsp;<em>gt</em>. It is based on a C library named &ldquo;libgenometools&rdquo; which consists of several modules.</p>
<p><img src="http://genometools.org/images/annotation.png" alt="image" style="border: 0px;"></p>
<p>If you are interested in gene prediction, have a look at&nbsp;<a href="http://genomethreader.org/" title="GenomeThreader gene prediction        software"><em>GenomeThreader</em></a>.</p>
<p>http://genometools.org/pub/</p><p>Address of the bookmark: <a href="http://genometools.org/" rel="nofollow">http://genometools.org/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43693/plar-pipeline-for-lncrna-annotation-from-rna-seq-data</guid>
	<pubDate>Fri, 07 Jan 2022 06:18:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43693/plar-pipeline-for-lncrna-annotation-from-rna-seq-data</link>
	<title><![CDATA[PLAR: Pipeline for lncRNA annotation from RNA-seq data]]></title>
	<description><![CDATA[<p><span>Due to several requests, we are releasing an assingment of orthologs, determined using the same methods used in Hezroni et al. (BLAST, Whole Genome Alignment (WGA), and synteny). One is comparing human GENCODE genes (from GENCODE v30) to lncRNAs from other species identified by PLAR. Available&nbsp;</span><a href="ftp://ftp-igor.weizmann.ac.il/pub/gencode_orthologs_v3.txt.gz">here</a><span>.</span></p>
<p>&nbsp;</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td rowspan="1" colspan="1">
<p><strong>Species</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>Assembly</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>Code</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>Transcriptome</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>lncRNAs</strong></p>
</td>
<td rowspan="1" colspan="1">
<p><strong>Protein-coding</strong></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Human</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2Fhg19%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNE8D2HpSsuVeU5oUWAahOi6qUkSTA">hg19</a></p>
</td>
<td rowspan="1" colspan="1">
<p>hg19</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/hg19.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/hg19.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/hg19.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Rhesus</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FrheMac3%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNE9JVXif3Efp4FVGd43K-BjTjrpwQ">rheMac3</a></p>
</td>
<td rowspan="1" colspan="1">
<p>rm3</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/rm3.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/rm3.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/rm3.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Marmoset</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FcalJac3%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNERBzLoHTuzHgX48eG9B5JwHfJeUg">calJac3</a></p>
</td>
<td rowspan="1" colspan="1">
<p>cj3</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cj3.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cj3.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cj3.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Mouse</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2Fmm9%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNFn4Vo-WHyxU1rVfWVKfgYCsdbvBw">mm9</a></p>
</td>
<td rowspan="1" colspan="1">
<p>mm9</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mm9.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mm9.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mm9.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Rabbit</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2ForyCun2%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNHV9p_9vZ6-wtW3ofOStkok2HmGYg">oryCun2</a></p>
</td>
<td rowspan="1" colspan="1">
<p>oc2</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/oc2.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/oc2.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/oc2.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Dog</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FcanFam3%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNF_CL0xW8BrQktADnX1_cKL5r7Zyw">canFam3</a></p>
</td>
<td rowspan="1" colspan="1">
<p>cf3</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cf3.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cf3.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cf3.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Ferret</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://hgdownload.soe.ucsc.edu/goldenPath/musFur1/bigZips/">musFur1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>oa3</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mf1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mf1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/mf1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Opossum</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FmonDom5%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNFeZz8NVTDJzR7uP7dIFOnACpuL7A">monDom5</a></p>
</td>
<td rowspan="1" colspan="1">
<p>md5</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/md5.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/md5.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/md5.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Chicken</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FgalGal4%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNFDsmU33MtwXzpaZZQHlrfI4OwsyA">galGal4</a></p>
</td>
<td rowspan="1" colspan="1">
<p>gg4</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/gg4.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/gg4.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/gg4.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Lizard</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FanoCar2%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEt4SZWNfHnA7MvJ6RWiql_yut4og">anoCar2</a></p>
</td>
<td rowspan="1" colspan="1">
<p>ac2</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ac2.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ac2.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ac2.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Coelacanth</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FlatCha1%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNH17mc_Am63OygexvbH391-GPoqBg">latCha1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>lc1</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lc1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lc1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lc1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Zebrafish</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FdanRer7%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEgbPFFLxSYaERAtOLpbqIa5NmeCA">danRer7</a></p>
</td>
<td rowspan="1" colspan="1">
<p>dr7</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/dr7.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/dr7.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/dr7.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Stickleback</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload-test.sdsc.edu%2FgoldenPath%2FgasAcu1%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNHLiWgr54hkQYAxKeU9FJn0FKzEDA">gasAcu1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>ga1</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ga1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ga1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ga1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Nile tilapia</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2ForeNil2%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEgaAhALRYb2ZYx_ItCO53E3mgZ2w">oreNil2</a></p>
</td>
<td rowspan="1" colspan="1">
<p>ot2</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ot2.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ot2.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/ot2.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Spotted gar</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload-test.cse.ucsc.edu%2FgoldenPath%2FlepOcu1%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEbTQSWyyyZXk3eYiwkkAySMRdKTg">lepOcu1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>lo1</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lo1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lo1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/lo1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Elephant shark</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload.soe.ucsc.edu%2FgoldenPath%2FcalMil1%2FbigZips%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNH2mc_GFk5E6kmVXftLL2lZVClIUQ">calMil1</a></p>
</td>
<td rowspan="1" colspan="1">
<p>cm1</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cm1.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cm1.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/cm1.coding.bed.gz">Download</a></p>
</td>
</tr>
<tr>
<td rowspan="1" colspan="1">
<p>Sea urchin</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="http://www.google.com/url?q=http%3A%2F%2Fhgdownload-test.cse.ucsc.edu%2FgoldenPath%2FstrPur4%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNHQ_Coxb_z7jTAweTFkO0KtHZKjEA">strPur4</a></p>
</td>
<td rowspan="1" colspan="1">
<p>sp4</p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/sp4.transcriptome.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/sp4.lncRNAs.bed.gz">Download</a></p>
</td>
<td rowspan="1" colspan="1">
<p><a href="ftp://ftp-igor.weizmann.ac.il/pub/CLAP/data/sp4.coding.bed.gz">Download</a></p>
</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://www.weizmann.ac.il/Biological_Regulation/IgorUlitsky/PLAR" rel="nofollow">http://www.weizmann.ac.il/Biological_Regulation/IgorUlitsky/PLAR</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43801/smudgeplot-inference-of-ploidy-and-heterozygosity-structure-using-whole-genome-sequencing-data</guid>
	<pubDate>Fri, 25 Feb 2022 04:42:09 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43801/smudgeplot-inference-of-ploidy-and-heterozygosity-structure-using-whole-genome-sequencing-data</link>
	<title><![CDATA[Smudgeplot: Inference of ploidy and heterozygosity structure using whole genome sequencing data]]></title>
	<description><![CDATA[<p dir="auto">This tool extracts heterozygous kmer pairs from kmer count databases and performs gymnastics with them. We are able to disentangle genome structure by comparing the sum of kmer pair coverages (CovA + CovB) to their relative coverage (CovB / (CovA + CovB)). Such an approach also allows us to analyze obscure genomes with duplications, various ploidy levels, etc.</p>
<p dir="auto">Smudgeplots are computed from raw or even better from trimmed reads and show the haplotype structure using heterozygous kmer pairs. For example:</p>
<p dir="auto"><a href="https://user-images.githubusercontent.com/8181573/45959760-f1032d00-c01a-11e8-8576-ff0512c33da9.png" target="_blank"><img src="https://user-images.githubusercontent.com/8181573/45959760-f1032d00-c01a-11e8-8576-ff0512c33da9.png" alt="smudgeexample" style="border: 0px;"></a></p><p>Address of the bookmark: <a href="https://github.com/KamilSJaron/smudgeplot" rel="nofollow">https://github.com/KamilSJaron/smudgeplot</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43867/genomeqc-a-quality-assessment-tool-for-genome-assemblies-and-gene-structure-annotations</guid>
	<pubDate>Thu, 19 May 2022 04:29:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43867/genomeqc-a-quality-assessment-tool-for-genome-assemblies-and-gene-structure-annotations</link>
	<title><![CDATA[GenomeQC: a quality assessment tool for genome assemblies and gene structure annotations]]></title>
	<description><![CDATA[<p><span>The GenomeQC web application is implemented in R/Shiny version 1.5.9 and Python 3.6 and is freely available at&nbsp;</span><a href="https://genomeqc.maizegdb.org/">https://genomeqc.maizegdb.org/</a><span>&nbsp;under the GPL license. All source code and a containerized version of the GenomeQC pipeline is available in the GitHub repository&nbsp;</span><a href="https://github.com/HuffordLab/GenomeQC">https://github.com/HuffordLab/GenomeQC</a><span>.</span></p>
<p>https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-020-6568-2</p><p>Address of the bookmark: <a href="https://github.com/HuffordLab/GenomeQC" rel="nofollow">https://github.com/HuffordLab/GenomeQC</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44375/phyloherb-a-high%E2%80%90throughput-phylogenomic-pipeline-for-processing-genome-skimming-data</guid>
	<pubDate>Wed, 06 Sep 2023 00:14:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44375/phyloherb-a-high%E2%80%90throughput-phylogenomic-pipeline-for-processing-genome-skimming-data</link>
	<title><![CDATA[PhyloHerb: A high‐throughput phylogenomic pipeline for processing genome skimming data]]></title>
	<description><![CDATA[<p dir="auto"><span>Phylo</span>genomic Analysis Pipeline for&nbsp;<span>Herb</span>arium Specimens</p>
<p dir="auto"><span>What is PhyloHerb</span>: PhyloHerb is a wrapper program to process&nbsp;<span>genome skimming</span>&nbsp;data collected from plant materials. The outcomes include the plastid genome (plastome) assemblies, mitochondrial genome assemblies, nuclear ribosomal DNAs (NTS+ETS+18S+ITS1+5.8S+ITS2+28S), alignments of gene and intergenic regions, and a species tree. It is designed to be a high throughput program dealing with lower quality data. Examples include&nbsp;<span>low-coverage (5x cpDNA) plastome phylogeny, recycling plastid genes from target enrichment data, retrieving low-copy nuclear genes from medium coverage (5x nucDNA) genome skimming</span>.</p>
<p dir="auto"><span>License</span>: GNU General Public License</p>
<p dir="auto"><span>Citation</span>:</p>
<ul dir="auto">
<li>Cai, Liming, Hongrui Zhang, and Charles C. Davis. 2022. PhyloHerb: A high‐throughput phylogenomic pipeline for processing genome‐skimming data. Applications in Plant Sciences 10(3): 1&ndash;9.&nbsp;<a href="https://doi.org/10.1002/aps3.11475">https://doi.org/10.1002/aps3.11475</a></li>
</ul><p>Address of the bookmark: <a href="https://github.com/lmcai/PhyloHerb/" rel="nofollow">https://github.com/lmcai/PhyloHerb/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/45278/the-day-we-began-reading-the-dna-of-the-world</guid>
	<pubDate>Sat, 05 Sep 2026 01:43:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/45278/the-day-we-began-reading-the-dna-of-the-world</link>
	<title><![CDATA[The Day We Began Reading the DNA of the World]]></title>
	<description><![CDATA[<div>Picture waking up and knowing that in one lab, a scientist is reading the DNA of a whale. In another, a team is sequencing a rare plant. Meanwhile, researchers in India are decoding the genomes of different human populations.</div><div>&nbsp;</div><div>Many organisms. Many countries. All share one remarkable goal: to understand the genetic story of life.</div><div>DNA is nature's instruction manual, written with just four letters: A, T, C, and G. For years, scientists could only read small sections of this huge book. Now, new sequencing technology lets us read entire genomes like never before.</div><div>&nbsp;</div><div>One of the most ambitious projects is the Earth BioGenome Project (EBP). Its goal is to create reference genomes for about 1.5 million known eukaryotic species. This project links genome research across continents, species, and scientific fields.</div><div>&nbsp;</div><div>But this story goes beyond just animals and plants.</div><div>&nbsp;</div><div><strong>A New Chapter in Human Genomics</strong></div><div>&nbsp;</div><div>Large human genome projects are changing how we understand our own genetic diversity.</div><div>India's GenomeIndia project has sequenced thousands of people from different populations. This work is uncovering genetic variation that global databases have often missed.</div><div>&nbsp;</div><div>Similar population-scale effSimilar large-scale projects are happening worldwide. The All of Us Research Program in the United States, Europe's 1+ Million Genomes initiative, South Korea's national genomic data program, and projects in Saudi Arabia, Australia, and Singapore are all building huge genomic resources.collect DNA.</div><div>&nbsp;</div><div>The real goal is to link genomes with health, disease, and other biological information. This creates a base for more accurate research and, in time, more personalized medicine.</div><div>&nbsp;</div><div><strong>A Race Against Time</strong></div><div>&nbsp;</div><div>There is also an important twist.</div><div>&nbsp;</div><div>We are sequencing Earth's biodiversity even as many species face growing environmental threats.</div><div>A genome alone cannot save a species, but it does keep important information about its biology, evolution, and genetic diversity. This knowledge helps scientists understand risks, guide conservation, and find traits that could help agriculture or medicine.</div><div>&nbsp;</div><div>Projects like the Darwin Tree of Life, which studies species in Britain and Ireland, and the African BioGenome Project, which is growing genomics work across Africa, are key parts of this worldwide effort.</div><div>&nbsp;</div><div>Projects to Watch</div><ol>
<li>Earth BioGenome Project (EBP) - A global effort to sequence and annotate roughly 1.5 million known eukaryotic species and create a comprehensive reference library of Earth's biodiversity.</li>
<li>Vertebrate Genomes Project (VGP) - Focuses on producing high-quality reference genomes for vertebrate species, providing a major foundation for the wider Tree of Life.</li>
<li>Darwin Tree of Life - A UK and Ireland initiative aiming to sequence approximately 70,000 species, creating a detailed genomic map of regional biodiversity.</li>
<li>African BioGenome Project (AfricaBP) - A pan-African initiative focused on sequencing Africa's biodiversity while strengthening genomics and bioinformatics capacity across the continent.</li>
<li>European Reference Genome Atlas (ERGA) - A European effort to generate high-quality reference genomes for Europe's biodiversity and connect national sequencing efforts.</li>
<li>Canada BioGenome Project - Building reference genomes for Canadian biodiversity, supporting conservation, research and the study of ecosystems.</li>
<li>California Conservation Genomics Project - Uses genomics to understand and protect California's biodiversity and help inform conservation decisions.</li>
<li>Bat1K - An ambitious global effort to sequence the genomes of all known bat species, helping scientists study their evolution, longevity, immunity and unique biology.</li>
<li>Bird 10,000 (B10K) - A global project aiming to create genome resources covering the world's bird diversity and reconstruct avian evolutionary history.</li>
<li>Global Invertebrate Genomics Alliance (GIGA) - Builds genomic resources for the enormous and genetically diverse world of invertebrates.</li>
<li>GenomeIndia - India's national human-genome initiative, designed to capture the country's extraordinary population diversity and create a reference resource for Indian genomics.</li>
<li>All of Us Research Program - A US national research program combining genomic information with health and lifestyle data at population scale.</li>
<li>1+ Million Genomes / Genome of Europe - A European effort to enable secure, cross-border use of genomic and health data and develop genome-scale resources involving more than one million people.</li>
<li>Korea National Integrated Bio Big Data Project - South Korea's large-scale national effort combining genomic and health information from a very large population cohort.</li>
<li>Saudi Genome Program - A national genomics initiative focused on genetic diseases, population genomics and precision medicine in Saudi Arabia.</li>
<li>Australian Genomics / Genomics Health Futures Mission - Australia's growing investment in genomic medicine, rare disease research and population-scale health genomics.</li>
</ol><div><strong>The Library of Life</strong></div><div>&nbsp;</div><div>The fuThe future of genomics is not just about sequencing one genome at a time. Now, it is about creating a worldwide network of genomes&mdash;human and non-human, individual and species&mdash;linked by powerful databases and advanced computational tools.ine a library without shelves.</div><div>&nbsp;</div><div>In this library, the books are genomes. The pages are made of DNA. Scientists and machines are the readers. And this library is still being written. Each genome sequenced today adds a new page to the story of life and helps us better understand our place in it.</div>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6458/bigre-lab</guid>
  <pubDate>Sun, 17 Nov 2013 10:35:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[BIGRE Lab]]></title>
  <description><![CDATA[
<p>The Laboratoire de Bioinformatique des Génomes et des Réseaux (Genome and Network Bioinformatics) is specialized in the conception, implementation, evaluation and application of bioinformatics approaches for the analysis of genome, transcriptome, proteome and metabolism.<br />Our main activities include</p>

<p>Analysis of regulatory sequences (RSAT project)<br />Classification and analysis of mobile genetic elements (ACLAME project).<br />Analysis of molecular interaction networks (NeAT project)<br />Inference of metabolic pathways from genomic and post-genomic data <br />(metabolic pathfinding, see also metabolic pathfinding in NeAT)<br />Critical assesment of protein interactions (CAPRI)</p>

<p>Lab Page http://www.bigre.ulb.ac.be/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4158/sorghum-genome-sequenced</guid>
	<pubDate>Sun, 01 Sep 2013 19:46:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4158/sorghum-genome-sequenced</link>
	<title><![CDATA[Sorghum genome Sequenced!!]]></title>
	<description><![CDATA[<p>Sorghum, a staple food for 500 million resource-poor people in marginal environments and a model for other important crops, sorghum holds vital genetic resources as humanity confronts the nexus of food crisis and climate change. The recent research provides an unmatched resource to respond to these challenges by identifying a large high-quality SNP and indel data set in diverse sorghum genotypes.</p><p>In addition to providing a broad sample of the diversity in S. bicolor, the genotypes included in this study are known to display agronomically important traits including stay-green drought resistance, insect resistance, grain size and grain quality.</p><p>Find more at&nbsp;http://www.nature.com/ncomms/2013/130827/ncomms3320/full/ncomms3320.html</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
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