<?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/31382?offset=1420</link>
	<atom:link href="https://bioinformaticsonline.com/related/31382?offset=1420" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43364/ragtag-a-collection-of-software-tools-for-scaffolding-and-improving-modern-genome-assemblies</guid>
	<pubDate>Sat, 11 Sep 2021 00:28:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43364/ragtag-a-collection-of-software-tools-for-scaffolding-and-improving-modern-genome-assemblies</link>
	<title><![CDATA[RagTag: a collection of software tools for scaffolding and improving modern genome assemblies]]></title>
	<description><![CDATA[<p>RagTag is a collection of software tools for scaffolding and improving modern genome assemblies. Tasks include:</p>
<ul>
<li>Homology-based misassembly&nbsp;<a href="https://github.com/malonge/RagTag/wiki/correct">correction</a></li>
<li>Homology-based assembly&nbsp;<a href="https://github.com/malonge/RagTag/wiki/scaffold">scaffolding</a>&nbsp;and&nbsp;<a href="https://github.com/malonge/RagTag/wiki/patch">patching</a></li>
<li>Scaffold&nbsp;<a href="https://github.com/malonge/RagTag/wiki/merge">merging</a></li>
</ul><p>Address of the bookmark: <a href="https://github.com/malonge/RagTag" rel="nofollow">https://github.com/malonge/RagTag</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/7816/boku-lab</guid>
  <pubDate>Wed, 08 Jan 2014 19:33:12 -0600</pubDate>
  <link></link>
  <title><![CDATA[BOKU Lab]]></title>
  <description><![CDATA[
<p>We are interested in the study of complex systems in living organisms. Novel views augmenting the classical gene by gene approaches are required to overcome the engineered redundancies and combinatorial effects prevalent in higher eukaryotes. We therefore combine work to establish improved quantitative experimental assays, such as microarrays or differential in-gel electrophoresis, and development of modern computational methods, such as hierarchical probabilistic models or integration of heterogeneous data sources, focussed by biological studies in our laboratory and collaborations.</p>

<p>Highlights of our research include:</p>

<p>    Optimization of microarray design, probe signal interpretation <br />    Advanced models and tools for expression profiling<br />    State-of-the-art applications and integrated analyses </p>

<p>Lab page @ http://bioinf.boku.ac.at/</p>
]]></description>
</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>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7213/postdoctoral-position-bioinformaticscomputational-biology</guid>
  <pubDate>Thu, 12 Dec 2013 17:58:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Position (Bioinformatics/Computational Biology)]]></title>
  <description><![CDATA[
<p>University College Cork<br />LAPTI<br />Cork-Co Cork-Ireland</p>

<p>Postdoctoral position is available for three years to work on development of Bioinformatics resources for the analysis and visualization of ribosome profiling data. Ribosome profiling (ribo-seq) is a technology that allows mapping positions of the ribosomes on the whole transcriptome level with a nucleotide precision. The technology allows obtaining high resolution digital snapshots of gene expression in cells. The position is available starting on the 1st of October, 2013.</p>

<p>Candidate is expected to have Ph.D. in Bioinformatics or Computational Biology. Candidates with the degree in non-Biological disciplines such as Computer Science, Statistics, Applied Mathematics, Physics or Electrical Engineering will also be considered.</p>

<p>The position is available at LAPTI (http://lapti.ucc.ie) that is located in the Western Gate Building (http://www.stwarchitects.com/project-information.php?c=1&amp;p=09993) at University College Cork. Western Gate Building Research Complex hosts several UCC departments and provides ideal environment for interdisciplinary research. Cork (sometimes referenced as “Venice of Ireland”) is the second most populous city in the Republic. It has friendly cosmopolitan atmosphere and vibrant culture. A number of American industrial giants such as Apple , EMC and Pfizer have chosen Cork as a home for their European headquarters.</p>

<p>The details of the application process are given at http://lapti.ucc.ie/jobs.html. To ensure prompt processing of your application use the subject line: ‘Postdoc computational’. All applications received prior to August the 1st are guaranteed equal consideration. However, applications at the later dates will also be considered until the position is filled.</p>

<p>For more info visit http://lapti.ucc.ie</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43791/comparative-genomics-visualisation-tools</guid>
	<pubDate>Thu, 17 Feb 2022 05:37:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43791/comparative-genomics-visualisation-tools</link>
	<title><![CDATA[Comparative genomics visualisation tools !]]></title>
	<description><![CDATA[<p>Comparative genomics visualisation tools !</p><p>Address of the bookmark: <a href="https://cmdcolin.github.io/awesome-genome-visualization/?latest=true&amp;selected=%23BRIG&amp;tag=Comparative" rel="nofollow">https://cmdcolin.github.io/awesome-genome-visualization/?latest=true&amp;selected=%23BRIG&amp;tag=Comparative</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/7288/critical-to-discoveries-in-bioinformatics</guid>
	<pubDate>Mon, 16 Dec 2013 17:13:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/7288/critical-to-discoveries-in-bioinformatics</link>
	<title><![CDATA[Critical to discoveries in bioinformatics]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/MnKvMP8CeSQ" frameborder="0" allowfullscreen></iframe>EMBL-EBI distributes datasets worldwide using the Janet network. This biological data enables the discovery of new drugs, new diagnostics and increasingly new agro-chemicals.  Their work, which includes the 1000-genome project, has generated petabytes of data and this growth is showing no signs of abating.  On-demand bandwidth over Janet will therefore be critical to their ongoing work.]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7483/research-associate-indian-institute-of-spices-research</guid>
  <pubDate>Wed, 25 Dec 2013 12:34:43 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate @ INDIAN INSTITUTE OF SPICES RESEARCH]]></title>
  <description><![CDATA[
<p>INDIAN INSTITUTE OF SPICES RESEARCH<br />(Indian Council of Agricultural Research)<br />Marikunnu P.O., Kozhikode – 673 012, Kerala</p>

<p>WALK -IN- TEST CUM INTERVIEW</p>

<p>Walk- in- Test cum Interview (based on test) for the selection of Research Associate (Bioinformatics) &amp; Bioinformatic Trainees under the scheme ‘Distributed Information Sub Centre- DISC’ will be held at this Institute as per details indicated below.</p>

<p>Research Associate</p>

<p>Date of Interview : 21 -01-2014 at 10.00 A.M</p>

<p>Qualifications : a) Essential: Doctorate degree in Bioinformatics or Biotechnology/Life Sciences/Biochemistry with expertise in  Bioinformatics as evidenced by publications.</p>

<p>OR</p>

<p>Three years research experience after MVSc/MPharm/ME/MTech with Bioinformatics  Specialization.</p>

<p>b Desirable: Experience in handling NGS data  Programming skills in Python/Bioperl</p>

<p>Emoluments : Rs:22000/- per month + HRA (higher pay upto Rs.24000/- can be paid  depending on the qualifications and experience.</p>

<p>Upper age limit : 40 years for Men &amp; 45 years for Women as on date of Interview (Upper Age limits are relaxable for SC, ST and OBC candidates as per Govt. of India norms (at present 5 years for SC/ST and 3 years for OBC)</p>

<p>Duration of Project : Till the closure of the project.</p>

<p>General Terms and conditions</p>

<p>1. The above positions are purely on temporary basis and is co-terminus with the closure of the project. There is no provision of re-employment after termination of project. The selected candidate will not have any right for claiming pay scale or absorption against any regular post being vacant on a later date at this Institute.<br />2 . No TA/DA will be paid for attending the Interview.<br />3. Canvassing in any form will lead to cancellation of candidate.<br />4. The decision of Director, IISR would be final and binding in all aspects.<br />5. Candidates will not be permitted to enter the Examination Hall after 10.00 A.M.<br />6. Candidates who secure the minimum marks prescribed by the Institute in written test  only will be eligible for calling for the interview. The number of candidates to be  called for the interview will be decided by the Director of the Institute.<br />7 Those who do not possess original Degree/PG certificate or Provisional certificate will not be allowed to attend the Test/Interview.</p>

<p>Note: All relevant certificates (in original) and bio data<br />No objection certificate in case he/she is employed elsewhere and experience certificate in original (if any) need to be produced at the time of interview.<br />Location of IISR Kozhikode Main Campus - Pallithazham bus stop between Moozhikkal East and Chelavoor on the NH 212 ”Kozhikode - Kollegal” Road.</p>

<p>Advertisement:  www.spices.res.in/pdf/DISC-Website.pdf</p>
]]></description>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/7913/the-genome-factory</guid>
	<pubDate>Thu, 16 Jan 2014 02:09:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7913/the-genome-factory</link>
	<title><![CDATA[The genome factory !!!]]></title>
	<description><![CDATA[<p>Illumina, Inc. announced Tuesday that its new HiSeq X Ten Sequencing System has broken the &ldquo;sound barrier&rdquo; of human genomics by enabling the $1,000 genome. &ldquo;This platform includes dramatic technology breakthroughs that enable researchers to undertake studies of unprecedented scale by providing the throughput to sequence tens of thousands of human whole genomes in a single year in a single lab,&rdquo; Illumina stated.</p><p>Initial customers for the HiSeq X Ten System, which will ship in Q1 2014, include Macrogen, based in Seoul, South Korea and its CLIA laboratory in Rockville, Maryland, the Broad Institute in Cambridge, Massachusetts, and the Garvan Institute of Medical Research in Sydney, Australia.</p><p>&ldquo;For the first time, it looks like it will be possible to deliver the $1,000 genome, which is tremendously exciting,&rdquo; said Eric Lander, founding director of the Broad Institute and a professor of biology at MIT. &ldquo;The HiSeq X Ten should give us the ability to analyze complete genomic information from huge sample populations. Over the next few years, we have an opportunity to learn as much about the genetics of human disease as we have learned in the history of medicine.&rdquo;</p><p>&ldquo;The HiSeq X Ten is an ideal platform for scientists and institutions focused on the discovery of genotypic variation to enable a deeper understanding of human biology and genetic disease,&rdquo; Illumina stated. &ldquo;It can sequence tens of thousands of samples annually with high-quality, high-coverage sequencing, delivering a comprehensive catalog of human variation within and outside coding regions.&rdquo;</p><p>HiSeq X Ten utilizes a number of advanced design features to generate massive throughput. Patterned flow cells, which contain billions of nanowells at fixed locations, combined with a new clustering chemistry deliver a significant increase in data density (6 billion clusters per run). Using state-of-the art optics and faster chemistry, HiSeq X Ten can process sequencing flow cells more quickly than ever before &mdash; generating a 10x increase in daily throughput when compared to current HiSeq 2500 performance.</p><p>The HiSeq X Ten is sold as a set of 10 or more ultra-high throughput sequencing systems, each generating up to 1.8 terabases (Tb) of sequencing data in less than three days or up to 600 gigabases (Gb) per day, per system, providing the throughput to sequence tens of thousands of high-quality, high-coverage genomes per year. Illumina says the $1,000 includes typical instrument depreciation, DNA extraction, library preparation, and estimated labor.</p>]]></description>
	<dc:creator>Madhvan Reddy</dc:creator>
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	<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>
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