<?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/31100?offset=900</link>
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	<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/opportunity/view/7569/phd-at-university-of-calgary</guid>
  <pubDate>Fri, 27 Dec 2013 20:24:39 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD at University of Calgary]]></title>
  <description><![CDATA[
<p>Institution/Company: <br />University of Calgary<br />Location: <br />Calgary, AB<br />Job Description: </p>

<p>Novel diagnostic platform for detection of Osteoarthritis</p>

<p>I invite applications from highly motivated individuals to join my laboratory as a PhD student in Systems Biology at the University of Calgary McCaig Institute for Bone and Joint Health. This project is aimed at characterizing the networks of physical (protein-protein) interactions underlying inflammatory processes in patients with Osteoarthritis and how this differs from patients with Rheumatoid Arthritis and normal individuals. This work will eventually lead to the development of a novel diagnostic platform for the non-invasive and accurate detection of early Osteoarthritis. The selected candidate will use state-of-the-art computational methodologies to systematically analyze proteomic data, and develop /implement new algorithms to identify protein and functional interaction networks from high throughput experimental data. The individual will also benefit by working closely with experts at the UofC and UofA through an AIHS Alberta Osteoarthritis Team Grant which includes experts from all pillars of health research. The candidate will also be supported to attend bioinformatics workshops and conferences to advance and disseminate their research.<br />Qualifications: The ideal candidate will have a Master’s degree in Computational Biology, Bioinformatics, or equivalent with strong background knowledge of the Biological Sciences, Biochemistry, and Microbiology. The individual should additionally have experience in handling high-throughput data sets as well as programming skills. The candidate will be registered as a PhD student in Dr. Krawetz’s laboratory, located in the new state-of-the-art Health Research Innovation Centre at the UofC. The individual will have strong verbal and written skills and the ability to work efficiently in a team environment.</p>

<p>In addition to the outstanding research opportunities available in this setting, students also enjoy the many cultural and sporting amenities provided in the city of Calgary, and can take advantage of the unparalleled skiing and hiking in the Rocky Mountains that are less than an hour away.</p>

<p>Candidates must be academically competitive and will be expected to apply for external funding. The stipend is $25,000/yr. For outstanding PhD students, internal top-up award opportunities are available on a competitive basis. If interested in joining the lab, please contact Dr. Krawetz directly at rkrawetz@ucalgary.ca and provide the following information:</p>

<p>- Short cover letter explaining your interest in the lab<br />- Resume<br />- Scanned copy of transcript or listing of course grades<br />- Names and contact information for two individuals who will be willing to provide letters of reference</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7215/postdoc-positions-in-computational-biology-center-for-genomic-science-milan-italy</guid>
  <pubDate>Thu, 12 Dec 2013 18:34:47 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc positions in computational biology - Center for Genomic Science - Milan, Italy]]></title>
  <description><![CDATA[
<p>Job Description: three postdoc positions in computational biology are available at the Center for Genomic Science in Milan (Italy):</p>

<p>- Development of computational methods to investigate the interplay between epigenetic and genetic layers and their role in tumor progression, by integrating genomic, epigenomic and transcriptional data. PI: Mattia Pelizzola (http://tiny.cc/comEpi)<br />- Epigenome and transcriptome analysis in mouse models of Hepatocellular Carcinoma. PI: Bruno Amati - Small and long non-coding RNAs in cancer stem cells. PI: Francesco Nicassio</p>

<p>All projects will benefit from the availability of both in-house and publicly available next-generation sequencing datasets. Familiarity with Linux environment, programming skills (especially in R) and a background in either computational biology, or physics/engineering/math will be advantageous.</p>

<p>Deadline for the application January 6th, to apply: http://genomics.iit.it/resources.html</p>

<p>Start date: March 1st, 2014</p>

<p>Duration: 1+2 years</p>

<p>Contact Person (Referent): Mattia Pelizzola</p>

<p>Ref. E-Mail: mattia.pelizzola@iit.it</p>

<p>Tel: 0039-02-94375058<br />Group Web Page: http://genomics.iit.it</p>
]]></description>
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	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7383/embo-practical-course-on-bioinformatics-and-genomes-analyses-at-hellenic-pasteur-institute-athens-greece</guid>
  <pubDate>Sat, 21 Dec 2013 10:00:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[EMBO practical Course on  "Bioinformatics and Genomes Analyses" at Hellenic Pasteur Institute, Athens, Greece]]></title>
  <description><![CDATA[
<p>The main objectives of this Practical Course are to strengthen skills <br />of PhD students and young researchers in the domain of Bioinformatics <br />and Genome Data Analyses on the use of advanced fundamental algorithms <br />and their applications in genome studies.</p>

<p>The course topics will include theoretical and practical aspects in:<br />- Genomes comparisons,<br />- Evolutionary analyses (orthologs, paralogs and ancestral genomes <br />inference),<br />- RNAseq and Next Generation Sequencing (including algorithms, methods <br />and sequence mapping tools, data analyses and applications).</p>

<p>The course programme will be centred on theoretical presentations <br />followed by practical sessions. Practical sessions in a Linux <br />environment will involve Unix shell and Perl scripting. Participants <br />are assumed to be familiar with this environment.</p>

<p>A series of lectures delivered by prominent scientists on recent hot <br />topics in genome (Viruses, Prokaryotes, Eukaryotes) studies will be <br />included in the programme and future research perspectives will be <br />highlighted.</p>

<p>The topics that will be included in the course programme are similar <br />to those included in previously organized courses:http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>The course is aimed at motivated Ph.D students and Post-Doctoral <br />Researchers in Academic Institutions, with background in Mathematics, <br />Statistics, Biology or Computer Science and who are involved in <br />Bioinformatics and Genomes studies.</p>

<p>Selection of participants will be based on their background, running <br />research projects and on expressed motivations.<br />Selected students will have free accommodation and meals and are <br />expected to contribute with 200 euros and to pay for their travel <br />expenses.<br />All participants (students and invited speakers) will stay in the same <br />hotel.</p>

<p>Detailed indications are available on the course web site: http://events.embo.org/14-comparative-genomics/index.html</p>

<p>Candidates are advised to complete carefully the application form, <br />together with an abstract of at least one of their running projects, a <br />"one-page CV" and a personal Identity Picture (Photo).</p>

<p>The application deadline is March 14, 2014.</p>

<p>The organizers:<br />Menelaos Manoussakis, Hellenic Pasteur Institute, Athens, Greece.<br />Evdokia Karagouni, Hellenic Pasteur Institute, Athens - Greece.<br />Evie Melanitou,  Institut Pasteur Paris - France.<br />Fredj Tekaia ( Institut Pasteur Paris France)<br />URL: http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>Date: 5 – 17 May, 2014. <br />More at http://events.embo.org/14-comparative-genomics/index.html<br />will take place in the ,</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/7568/oldest-hominin-dna-sequenced</guid>
	<pubDate>Fri, 27 Dec 2013 19:58:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7568/oldest-hominin-dna-sequenced</link>
	<title><![CDATA[Oldest Hominin DNA Sequenced]]></title>
	<description><![CDATA[<p>Matthias Meyer and his team from the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, have developed new techniques for retrieving and sequencing highly degraded ancient DNA. They then joined forces with Juan-Luis Arsuaga and applied the new techniques to a cave bear from the Sima de los Huesos site. After this success, the researchers sampled two grams of bone powder from a hominin thigh bone from the cave. They extracted its DNA and sequenced the genome of the mitochondria or mtDNA, a small part of the genome that is passed down along the maternal line and occurs in many copies per cell. The researchers then compared this ancient mitochondrial DNA with Neandertals, Denisovans, present-day humans, and apes.<br /><br />From the missing mutations in the old DNA sequences the researchers calculated that the Sima hominin lived about 400,000 years ago. They also found that it shared a common ancestor with the Denisovans, an extinct archaic group from Asia related to the Neandertals, about 700,000 years ago. "The fact that the mtDNA of the Sima de los Huesos hominin shares a common ancestor with Denisovan rather than Neandertal mtDNAs is unexpected since its skeletal remains carry Neandertal-derived features," says Matthias Meyer. Considering their age and Neandertal-like features, the Sima hominins were likely related to the population ancestral to both Neandertals and Denisovans. Another possibility is that gene flow from yet another group of hominins brought the Denisova-like mtDNA into the Sima hominins or their ancestors.<br /><br /></p><p>Reference</p><p>http://www.sciencedaily.com/releases/2013/12/131204132018.htm</p>]]></description>
	<dc:creator>Surajeet</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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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/7986/list-of-bioinformatics-open-source-projectssoftware</guid>
	<pubDate>Tue, 21 Jan 2014 14:28:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/7986/list-of-bioinformatics-open-source-projectssoftware</link>
	<title><![CDATA[List of bioinformatics open source projects/software.]]></title>
	<description><![CDATA[<p>Open source software is software that can be freely used, changed, and shared (in modified or unmodified form) by anyone. Open source software is made by many people, and distributed under licenses that comply with the Open Source Definition.The Open Source Initiative (OSI) is a global non-profit that supports and promotes the open source movement. Followings are the OS bioinformatics projects/software :</p><p><strong>.NET Bio</strong></p><p>http://blogs.msdn.com/b/msr_er/archive/2011/10/18/microsoft-biology-foundation-evolves-into-new-toolkit-net-bio.aspx</p><p>A language-neutral bioinformatics toolkit built using the Microsoft 4.0 .NET Framework to help developers, researchers, and scientists.</p><p><strong>AMPHORA</strong> ("AutoMated Phylogenomic infeRence Application")</p><p>http://wolbachia.biology.virginia.edu/WuLab/Software.html</p><p><a href="http://en.wikipedia.org/wiki/Metagenomics" title="Metagenomics">Metagenomics</a> analysis software</p><p><strong>Anduril</strong></p><p>http://www.anduril.org/anduril/site/</p><p>Component-based <a href="http://en.wikipedia.org/wiki/Workflow" title="Workflow">workflow</a> framework for data analysis</p><p>Armadillo workflow platform</p><p>Tool for designing and executing phylogenetic workflows</p><p><strong>AutoDock</strong></p><p>http://autodock.scripps.edu/</p><p>suite of automated docking tools</p><p><strong>Biochemical Algorithms Library (BALL)</strong></p><p>http://www.ball-project.org/</p><p>C++ library and framework for molecular modeling and visualization designed for rapid prototyping</p><p><strong>Bio4j</strong></p><p>http://bio4j.com/</p><p>Bio4j is a <a href="http://en.wikipedia.org/wiki/Bioinformatics" title="Bioinformatics">bioinformatics</a> platform and <a href="http://en.wikipedia.org/wiki/Chart" title="Chart">graph</a> based <a href="http://en.wikipedia.org/wiki/Database" title="Database">database</a> built around most data available in <a href="http://en.wikipedia.org/wiki/UniProt" title="UniProt">UniProt</a> KB(<a href="http://en.wikipedia.org/wiki/Swiss-Prot" title="Swiss-Prot">Swiss-Prot</a> + <a href="http://en.wikipedia.org/wiki/TrEMBL" title="TrEMBL">TrEMBL</a>), <a href="http://en.wikipedia.org/wiki/Gene_Ontology" title="Gene Ontology">Gene Ontology</a> (GO), <a href="http://en.wikipedia.org/w/index.php?title=UniRef&amp;action=edit&amp;redlink=1" title="UniRef (page does not exist)">UniRef</a> (50,90,100), <a href="http://en.wikipedia.org/wiki/RefSeq" title="RefSeq">RefSeq</a>, <a href="http://en.wikipedia.org/wiki/National_Center_for_Biotechnology_Information" title="National Center for Biotechnology Information">NCBI</a> taxonomy, and Expasy Enzyme DB</p><p><strong>Bioclipse</strong></p><p>www.bioclipse.net</p><p>Visual platform for <a href="http://en.wikipedia.org/wiki/Cheminformatics" title="Cheminformatics">chemo</a>- and <a href="http://en.wikipedia.org/wiki/Bioinformatics" title="Bioinformatics">bioinformatics</a> based on the <a href="http://en.wikipedia.org/wiki/Eclipse_%28software%29" title="Eclipse (software)">Eclipse</a> Rich Client Platform (RCP).</p><p><strong>Bioconductor</strong></p><p>http://www.bioconductor.org/</p><p><a href="http://en.wikipedia.org/wiki/R_%28programming_language%29" title="R (programming language)">R (programming language)</a> language toolkit</p><p><strong>Bioinformatics Learning Tutorial (BLT)</strong></p><p>http://sourceforge.net/projects/biotutorial/</p><p>Educational <a href="http://en.wikipedia.org/wiki/Interactive_tutorials" title="Interactive tutorials">interactive tutorials</a> and 3D animations for Replication, Transcription, and Translation</p><p><strong>BioHaskell</strong></p><p>http://biohaskell.org/</p><p><a href="http://en.wikipedia.org/wiki/Haskell_%28programming_language%29" title="Haskell (programming language)">Haskell (programming language)</a></p><p><strong>BioJava</strong></p><p>http://biojava.org/wiki/Main_Page</p><p><a href="http://en.wikipedia.org/wiki/Java_%28programming_language%29" title="Java (programming language)">Java (programming language)</a></p><p><strong>BioMOBY</strong></p><p>http://biomoby.org/</p><p>registry of <a href="http://en.wikipedia.org/wiki/Web_services" title="Web services">web services</a></p><p><strong>BioPerl</strong></p><p>http://www.bioperl.org/wiki/Main_Page</p><p><a href="http://en.wikipedia.org/wiki/Perl" title="Perl">Perl</a> language toolkit</p><p><strong>BioPHP</strong></p><p>http://www.biophp.org/</p><p><a href="http://en.wikipedia.org/wiki/PHP" title="PHP">PHP</a> language toolkit</p><p><strong>Biopython</strong></p><p>http://biopython.org/wiki/Main_Page</p><p><a href="http://en.wikipedia.org/wiki/Python_%28programming_language%29" title="Python (programming language)">Python</a> language toolkit</p><p><strong>BioRails</strong></p><p>https://github.com/biorails</p><p>a <a href="http://en.wikipedia.org/wiki/Data_management_system" title="Data management system">data management system</a> designed to support researchers in <a href="http://en.wikipedia.org/wiki/Drug_discovery" title="Drug discovery">drug discovery</a></p><p><strong>BioRuby</strong></p><p>http://bioruby.org/</p><p><a href="http://en.wikipedia.org/wiki/Ruby_%28programming_language%29" title="Ruby (programming language)">Ruby</a> language toolkit</p><p><strong>BioSmalltalk</strong></p><p>https://code.google.com/p/biosmalltalk/</p><p><a href="http://en.wikipedia.org/wiki/Smalltalk_%28programming_language%29" title="Smalltalk (programming language)">Smalltalk</a> language toolkit</p><p><strong>BioUno</strong></p><p>http://www.biouno.org/</p><p><a href="http://en.wikipedia.org/w/index.php?title=BioUno&amp;action=edit&amp;redlink=1" title="BioUno (page does not exist)">BioUno</a> is a project that applies <a href="http://en.wikipedia.org/wiki/Continuous_Integration" title="Continuous Integration">Continuous Integration</a> tools and techniques in <a href="http://en.wikipedia.org/wiki/Bioinformatics" title="Bioinformatics">Bioinformatics</a>. It uses <a href="http://en.wikipedia.org/wiki/Jenkins_%28software%29" title="Jenkins (software)">Jenkins</a> and its plug-in API to create <a href="http://en.wikipedia.org/wiki/Bioinformatics_workflow_management_system" title="Bioinformatics workflow management system">biology workflows</a> and manage <a href="http://en.wikipedia.org/wiki/Computer_clusters" title="Computer clusters">computer clusters</a>.</p><p><strong>caCORE</strong></p><p>&nbsp;</p><p>ontologic representation environment</p><p><strong>caArray</strong></p><p>https://cabig-stage.nci.nih.gov/community/tools/caArray</p><p>ontologic representation environment</p><p><strong>EMBOSS</strong></p><p>http://emboss.sourceforge.net/</p><p>Suite of packages for sequencing, searching, etc.</p><p><strong>Gaggle</strong></p><p>https://www.gaggle.net/</p><p>A framework for interoperability between systems biology software</p><p><strong>Galaxy</strong></p><p>http://galaxyproject.org/</p><p><a href="http://en.wikipedia.org/wiki/Scientific_workflow_system" title="Scientific workflow system">Scientific workflow</a> and <a href="http://en.wikipedia.org/wiki/Data_integration" title="Data integration">data integration</a> system</p><p><strong>GenePattern</strong></p><p>http://www.broadinstitute.org/cancer/software/genepattern/</p><p><a href="http://en.wikipedia.org/wiki/Scientific_workflow_system" title="Scientific workflow system">Scientific workflow system</a> that provides access to more than 150 genomic analysis tools</p><p><strong>GeWorkbench</strong></p><p>http://wiki.c2b2.columbia.edu/workbench/index.php/Home</p><p>Genomic <a href="http://en.wikipedia.org/wiki/Data_integration" title="Data integration">data integration</a> platform</p><p><strong>GMOD</strong></p><p>http://www.gmod.org/wiki/Main_Page</p><p>Toolkit for addressing many common challenges at biological databases.</p><p><strong>GeneProf</strong></p><p>http://www.geneprof.org/GeneProf/</p><p>A web-based, bioinformatics software suite for the analysis of functional genomics experiments, e.g. RNA-seq or ChIP-seq.</p><p><strong>GeneTalk</strong></p><p>http://www.gene-talk.de/</p><p>Tool for filtering sequence variants in <a href="http://en.wikipedia.org/wiki/Variant_Call_Format" title="Variant Call Format">VCF</a> files. Network for scientists and clinicians for expertise and knowledge exchange. Database of annotations aboute sequence variants with clinically relevant information.</p><p><strong>GenGIS</strong></p><p>http://kiwi.cs.dal.ca/GenGIS/Main_Page</p><p>Application that allows users to combine digital map data with information about biological sequences collected from the environment.</p><p><strong>GenomeSpace</strong></p><p>http://www.genomespace.org/</p><p>Centralized web application that provides data format transformations and facilitates connections with other bioinformatics tools</p><p><strong>GENtle</strong></p><p>http://directory.fsf.org/wiki/GENtle</p><p>An equivalent to the proprietary <a href="http://en.wikipedia.org/wiki/Vector_NTI" title="Vector NTI">Vector NTI</a>, a tool to analyze and edit <a href="http://en.wikipedia.org/wiki/DNA" title="DNA">DNA</a> sequence files</p><p><strong>Integrated Genome Browser</strong></p><p>http://bioviz.org/igb/</p><p><a href="http://en.wikipedia.org/wiki/Java_%28software_platform%29" title="Java (software platform)">Java</a>-based desktop <a href="http://en.wikipedia.org/wiki/Genome_browser" title="Genome browser">genome browser</a></p><p><strong>Integrative Genomics Viewer (IGV)</strong></p><p>http://www.broadinstitute.org/igv/</p><p>High-performance desktop tool for interactive visual exploration of diverse genomic data</p><p><strong>IntAct</strong></p><p>http://www.ebi.ac.uk/intact/</p><p>molecular interaction database</p><p><strong>InterMine</strong></p><p>http://intermine.github.io/intermine.org/</p><p>Extensive data warehouse system for the analysis and integration of biological datasets</p><p><strong>Java Treeview</strong></p><p>http://jtreeview.sourceforge.net/</p><p>microarray data viewer</p><p><strong>LabKey Server</strong></p><p>http://labkey.com/</p><p>platform for integrating, analyzing and sharing data</p><p><strong>OpenClinica</strong></p><p>https://www.openclinica.com/</p><p>software for capturing and managing data in clinical trials</p><p><a href="http://www.biomedcentral.com/1471-2164/13/512">PromKappa</a></p><p>http://xbioinformatics.wordpress.com/tag/promkappa/</p><p>PromKappa (Promoter analysis by Kappa) software program used for promoter pattern generation and promoter analysis.</p><p><strong>MeV: Multi-Experiment Viewer</strong></p><p>http://www.tm4.org/mev.html</p><p>a desktop application for the analysis, visualization and data-mining of large-scale genomic data</p><p><strong>PathVisio</strong></p><p>http://www.pathvisio.org/</p><p>a desktop software for drawing, analysis and visualization of biological pathways</p><p>REDCRAFT</p><p>software for determining tertiary protein structure given assigned Residual Dipolar Coupling data</p><p>SAM Tools</p><p>Data format (SAM) and accompanying tool suite, for storing large nucleotide sequence alignments</p><p><a href="http://en.wikipedia.org/wiki/Staden_Package" title="Staden Package">Staden Package</a></p><p>Sequence assembly, editing and analysis, primarily consisting of gap4, gap5 and spin.</p><p><a href="http://en.wikipedia.org/wiki/STAMP" title="STAMP">STAMP</a></p><p>Software package for analyzing metagenomic profiles that promotes &lsquo;best practices&rsquo; in choosing appropriate statistical techniques and reporting results.</p><p><a href="http://supfam.org/supraHex">supraHex</a></p><p>An open-source R/Bioconductor package for omics data analysis using a supra-hexagonal map</p><p><a href="http://en.wikipedia.org/wiki/Taverna_workbench" title="Taverna workbench">Taverna workbench</a></p><p>Tool for designing and executing workflows</p><p>TGAC Browser</p><p>Genome Browser, visualisation solutions for big data in the genomic era</p><p>T-REX WebServer</p><p>Bioinformatics and phylogenetics webserver (NJ, PhyML, RAxML, MAFFT, MUSCLE, Newick viewer, <a href="http://en.wikipedia.org/wiki/Horizontal_gene_transfer" title="Horizontal gene transfer">Horizontal gene transfer</a> detection, Reticulograms, Substitution models)</p><p><a href="http://en.wikipedia.org/wiki/UGENE" title="UGENE">UGENE</a></p><p>integrated bioinformatics tools</p><p>Visomics</p><p>bioinformatics tools for omics data</p><p>Genome Analysis Toolkit 1.0 (GATK 1.0)</p><p>a software package to analyse next-generation resequencing data</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4183/320000-viruses-in-mammals-yet-to-sequenced-in-future</guid>
	<pubDate>Tue, 03 Sep 2013 08:35:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4183/320000-viruses-in-mammals-yet-to-sequenced-in-future</link>
	<title><![CDATA[320000 viruses in mammals yet to sequenced in future!!!]]></title>
	<description><![CDATA[<p>With current biological technique improvements, finally it is now possible to look at millions of unknown viruses at genomic level and understand the mechanism. According to available data, close to 70 per cent of emerging viral diseases such as HIV/AIDS, West Nile, Ebola, SARS, and influenza, are zoonoses - infections of animals that cross into humans.</p><p>To address the challenges of describing and estimating virodiversity, a team of investigators from Center for Infection and Immunity (CII) and EcoHealth Alliance began in jungles of Bangladesh - home to the flying fox.</p><p>Reference:</p><p><a href="http://economictimes.indiatimes.com/news/news-by-industry/et-cetera/mammals-harbour-at-least-320000-new-viruses/articleshow/22253268.cms">http://economictimes.indiatimes.com/news/news-by-industry/et-cetera/mammals-harbour-at-least-320000-new-viruses/articleshow/22253268.cms</a></p><p><a href="http://www.bbc.co.uk/news/science-environment-23932400">http://www.bbc.co.uk/news/science-environment-23932400</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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