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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44751?offset=1350</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6817/research-assistant-university-of-hyderabad</guid>
  <pubDate>Mon, 25 Nov 2013 10:21:26 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Assistant @ University of Hyderabad]]></title>
  <description><![CDATA[
<p>University of Hyderabad<br />Repository for Tomato Genomic Resources<br />Department of Plant Sciences<br />Bioinformatics Position in Tomato Functional Genomics </p>

<p>At the Repository for Tomato Genomics Resources, we are working on Tomato Functional Genomics, using TILLING, Insertional Mutagenesis, proteomics, metabolomics approaches to study fruit ripening in tomato. The current aims of the group include using reverse and forward genetics strategies to isolate tomato mutants delayed in ripening, having high lycopene and folate content in tomato fruits and analysis of light and hormonal signal transduction pathways. For recent publications of the group see (Plant Physiol 161: 2085–2101, Plant Physiol 156: 1424-1438; Molecular Plant 3: 854-869; Plant Methods 6: 3; Plant Methods 5:18; Plant Signaling and Behavior 5:11.).</p>

<p>Currently we have one position available in the projects awarded to Prof. R.P. Sharma funded by Dept of Biotechnology. The qualification for this Position is as follows:</p>

<p>Research Assistant: Applicants should have experience in networking using R language and should be able to develop networks using the transcriptome, proteome and metabolite data sets. M.Tech. in Bioinformatics is required. The selected candidate would be paid Rs. 13,000/-pm- consolidated.</p>

<p>Candidates interested in above positions should send a one page statement clearly explaining how their skills are relevant to the position. The candidates should also enclose detailed CV and the name/email id for three referees. The candidates can send their application by email at rameshwar.sharma@uohyd.ac.in and y.sreelakshmi@uohyd.ac.in on or before December 10th, 2013. The position is purely temporary in nature. Shortlisted candidates would be called for interview. No TA/DA would be provided for attending the interview. We also have openings for CSIR-NET JRF candidates for pursuing PhD in above research areas.</p>

<p>Interested candidates with CSIR-NET JRF can send their CV to the above email<br />addresses.</p>

<p>Advertisement:</p>

<p>http://www.uohyd.ac.in/images/recruitment/tomanet_positions_221113.pdf</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>
</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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44292/gget</guid>
	<pubDate>Sat, 01 Apr 2023 09:42:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44292/gget</link>
	<title><![CDATA[gget]]></title>
	<description><![CDATA[<p><code>gget</code><span>&nbsp;is a free, open-source command-line tool and Python package that enables efficient querying of genomic databases.&nbsp;</span><code>gget</code><span>&nbsp;consists of a collection of separate but interoperable modules, each designed to facilitate one type of database querying in a single line of code.</span></p>
<p><span><img src="https://github.com/pachterlab/gget/raw/main/figures/gget_overview.png?raw=true" alt="image" style="border: 0px;"></span></p><p>Address of the bookmark: <a href="https://github.com/pachterlab/gget" rel="nofollow">https://github.com/pachterlab/gget</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <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/44659/figeno-tool-for-plotting-sequencing-data-along-genomic-coordinates</guid>
	<pubDate>Tue, 17 Sep 2024 02:28:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44659/figeno-tool-for-plotting-sequencing-data-along-genomic-coordinates</link>
	<title><![CDATA[Figeno: Tool for plotting sequencing data along genomic coordinates.]]></title>
	<description><![CDATA[<p><span>Tool for plotting sequencing data along genomic coordinates.</span></p>
<div>
<pre><code>FIGENO is a
  FIGure
    GENerator
for GENOmics</code></pre>
</div>
<p dir="auto">With figeno, you can plot various types of sequencing data along genomic coordinates. Video overview:&nbsp;<a href="https://www.youtube.com/watch?v=h1cBeXoSYTA">https://www.youtube.com/watch?v=h1cBeXoSYTA</a>.</p>
<p dir="auto"><a href="https://github.com/CompEpigen/figeno/blob/main/docs/content/images/figeno.png" target="_blank"><img src="https://github.com/CompEpigen/figeno/raw/main/docs/content/images/figeno.png" alt="figeno" style="border: 0px;"></a></p><p>Address of the bookmark: <a href="https://github.com/CompEpigen/figeno" rel="nofollow">https://github.com/CompEpigen/figeno</a></p>]]></description>
	<dc:creator>LEGE</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/pages/view/33869/import-r-data</guid>
	<pubDate>Wed, 12 Jul 2017 08:30:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/33869/import-r-data</link>
	<title><![CDATA[Import R Data]]></title>
	<description><![CDATA[<p>It is often necessary to import sample textbook data into R before you start working on your homework.</p><div id="node-69"><div><p><strong>Excel File</strong></p><p>Quite frequently, the sample data is in&nbsp;<span>Excel&nbsp;</span>format, and needs to be imported into R prior to use. For this, we can use the function&nbsp;<span>read.xls&nbsp;</span>from the&nbsp;<span>gdata&nbsp;</span>package. It reads from an Excel spreadsheet and returns a&nbsp;<a href="http://www.r-tutor.com/r-introduction/data-frame">data frame</a>. The following shows how to load an Excel spreadsheet named&nbsp;<span>"mydata.xls"</span>. This method requires Perl runtime to be present in the system.</p><blockquote><div id="listing-68"><span><a></a></span>&gt;&nbsp;library(gdata)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;#&nbsp;load&nbsp;gdata&nbsp;package&nbsp;<br /><span><a></a></span>&gt;&nbsp;help(read.xls)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;#&nbsp;documentation&nbsp;<br /><span><a></a></span>&gt;&nbsp;mydata&nbsp;=&nbsp;read.xls("mydata.xls")&nbsp;&nbsp;#&nbsp;read&nbsp;from&nbsp;first&nbsp;sheet</div></blockquote><p>Alternatively, we can use the function&nbsp;<span>loadWorkbook&nbsp;</span>from the&nbsp;<span>XLConnect&nbsp;</span>package to read the entire workbook, and then load the worksheets with&nbsp;<span>readWorksheet</span>. The&nbsp;<span>XLConnect&nbsp;</span>package requires Java to be pre-installed.</p><blockquote><div id="listing-69"><span><a></a></span>&gt;&nbsp;library(XLConnect)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;#&nbsp;load&nbsp;XLConnect&nbsp;package&nbsp;<br /><span><a></a></span>&gt;&nbsp;wk&nbsp;=&nbsp;loadWorkbook("mydata.xls")&nbsp;<br /><span><a></a></span>&gt;&nbsp;df&nbsp;=&nbsp;readWorksheet(wk,&nbsp;sheet="Sheet1")</div></blockquote><p>&nbsp;</p><h4><a></a>Minitab File</h4><p>If the data file is in&nbsp;<span>Minitab Portable Worksheet&nbsp;</span>format, it can be opened with the function&nbsp;<span>read.mtp&nbsp;</span>from the&nbsp;<span>foreign&nbsp;</span>package. It returns a&nbsp;<a href="http://www.r-tutor.com/r-introduction/list">list</a>&nbsp;of components in the Minitab worksheet.</p><blockquote><div id="listing-70"><span><a></a></span>&gt;&nbsp;library(foreign)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;#&nbsp;load&nbsp;the&nbsp;foreign&nbsp;package&nbsp;<br /><span><a></a></span>&gt;&nbsp;help(read.mtp)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;#&nbsp;documentation&nbsp;<br /><span><a></a></span>&gt;&nbsp;mydata&nbsp;=&nbsp;read.mtp("mydata.mtp")&nbsp;&nbsp;#&nbsp;read&nbsp;from&nbsp;.mtp&nbsp;file</div></blockquote><p>&nbsp;</p><h4><a></a>SPSS File</h4><p>For the data files in&nbsp;<span>SPSS&nbsp;</span>format, it can be opened with the function&nbsp;<span>read.spss&nbsp;</span>also from the&nbsp;<span>foreign&nbsp;</span>package. There is a&nbsp;<span>"to.data.frame"&nbsp;</span>option for choosing whether a data frame is to be returned. By default, it returns a list of components instead.</p><blockquote><div id="listing-71"><span><a></a></span>&gt;&nbsp;library(foreign)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;#&nbsp;load&nbsp;the&nbsp;foreign&nbsp;package&nbsp;<br /><span><a></a></span>&gt;&nbsp;help(read.spss)&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;#&nbsp;documentation&nbsp;<br /><span><a></a></span>&gt;&nbsp;mydata&nbsp;=&nbsp;read.spss("myfile",&nbsp;to.data.frame=TRUE)</div></blockquote><p>&nbsp;</p><h4><a></a>Table File</h4><p>A data table can resides in a text file. The cells inside the table are separated by blank characters. Here is an example of a table with 4 rows and 3 columns.</p><blockquote><div id="listing-72"><span><a></a></span>100&nbsp;&nbsp;&nbsp;a1&nbsp;&nbsp;&nbsp;b1&nbsp;<br /><span><a></a></span>200&nbsp;&nbsp;&nbsp;a2&nbsp;&nbsp;&nbsp;b2&nbsp;<br /><span><a></a></span>300&nbsp;&nbsp;&nbsp;a3&nbsp;&nbsp;&nbsp;b3&nbsp;<br /><span><a></a></span>400&nbsp;&nbsp;&nbsp;a4&nbsp;&nbsp;&nbsp;b4</div></blockquote><p>Now copy and paste the table above in a file named&nbsp;<span>"mydata.txt"&nbsp;</span>with a text editor. Then load the data into the workspace with the function&nbsp;<span>read.table</span>.</p><blockquote><div id="listing-73"><span><a></a></span>&gt;&nbsp;mydata&nbsp;=&nbsp;read.table("mydata.txt")&nbsp;&nbsp;#&nbsp;read&nbsp;text&nbsp;file&nbsp;<br /><span><a></a></span>&gt;&nbsp;mydata&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;#&nbsp;print&nbsp;data&nbsp;frame&nbsp;<br /><span><a></a></span>&nbsp;&nbsp;&nbsp;V1&nbsp;V2&nbsp;V3&nbsp;<br /><span><a></a></span>1&nbsp;100&nbsp;a1&nbsp;b1&nbsp;<br /><span><a></a></span>2&nbsp;200&nbsp;a2&nbsp;b2&nbsp;<br /><span><a></a></span>3&nbsp;300&nbsp;a3&nbsp;b3&nbsp;<br /><span><a></a></span>4&nbsp;400&nbsp;a4&nbsp;b4</div></blockquote><p>For further detail of the function&nbsp;<span>read.table</span>, please consult the R documentation.</p><blockquote><div id="listing-74"><span><a></a></span>&gt;&nbsp;help(read.table)</div></blockquote><p>&nbsp;</p><h4><a></a>CSV File</h4><p>The sample data can also be in&nbsp;<span>comma separated values&nbsp;</span>(CSV) format. Each cell inside such data file is separated by a special character, which usually is a comma, although other characters can be used as well.</p><p>The first row of the data file should contain the column names instead of the actual data. Here is a sample of the expected format.</p><blockquote><div id="listing-75"><span><a></a></span>Col1,Col2,Col3&nbsp;<br /><span><a></a></span>100,a1,b1&nbsp;<br /><span><a></a></span>200,a2,b2&nbsp;<br /><span><a></a></span>300,a3,b3</div></blockquote><p>After we copy and paste the data above in a file named&nbsp;<span>"mydata.csv"&nbsp;</span>with a text editor, we can read the data with the function&nbsp;<span>read.csv</span>.</p><blockquote><div id="listing-76"><span><a></a></span>&gt;&nbsp;mydata&nbsp;=&nbsp;read.csv("mydata.csv")&nbsp;&nbsp;#&nbsp;read&nbsp;csv&nbsp;file&nbsp;<br /><span><a></a></span>&gt;&nbsp;mydata&nbsp;<br /><span><a></a></span>&nbsp;&nbsp;Col1&nbsp;Col2&nbsp;Col3&nbsp;<br /><span><a></a></span>1&nbsp;&nbsp;100&nbsp;&nbsp;&nbsp;a1&nbsp;&nbsp;&nbsp;b1&nbsp;<br /><span><a></a></span>2&nbsp;&nbsp;200&nbsp;&nbsp;&nbsp;a2&nbsp;&nbsp;&nbsp;b2&nbsp;<br /><span><a></a></span>3&nbsp;&nbsp;300&nbsp;&nbsp;&nbsp;a3&nbsp;&nbsp;&nbsp;b3</div></blockquote><p>In various European locales, as the comma character serves as the decimal point, the function&nbsp;<span>read.csv2&nbsp;</span>should be used instead. For further detail of the&nbsp;<span>read.csv&nbsp;</span>and&nbsp;<span>read.csv2&nbsp;</span>functions, please consult the R documentation.</p><blockquote><div id="listing-77"><span><a></a></span>&gt;&nbsp;help(read.csv)</div></blockquote><p>&nbsp;</p><h4><a></a>Working Directory</h4><p>Finally, the code samples above assume the data files are located in the R&nbsp;<span>working</span>&nbsp;<span>directory</span>, which can be found with the function&nbsp;<span>getwd</span>.</p><blockquote><div id="listing-78"><span><a></a></span>&gt;&nbsp;getwd()&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;#&nbsp;get&nbsp;current&nbsp;working&nbsp;directory</div></blockquote><p>You can select a different working directory with the function&nbsp;<span>setwd()</span>, and thus avoid entering the full path of the data files.</p><blockquote><div id="listing-79"><span><a></a></span>&gt;&nbsp;setwd("")&nbsp;&nbsp;&nbsp;#&nbsp;set&nbsp;working&nbsp;directory</div></blockquote><p>Note that the forward slash should be used as the path separator even on Windows platform.</p><blockquote><div id="listing-80"><span><a></a></span>&gt;&nbsp;setwd("C:/MyDoc")</div></blockquote></div></div>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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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/38304/lordfast-sensitive-and-fast-alignment-search-tool-for-long-noisy-read-sequencing-data</guid>
	<pubDate>Tue, 27 Nov 2018 04:43:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38304/lordfast-sensitive-and-fast-alignment-search-tool-for-long-noisy-read-sequencing-data</link>
	<title><![CDATA[lordFAST: sensitive and Fast Alignment Search Tool for LOng noisy Read sequencing Data]]></title>
	<description><![CDATA[<p><span>lordFAST is a sensitive tool for mapping long reads with high error rates. lordFAST is specially designed for aligning reads from PacBio sequencing technology but provides the user the ability to change alignment parameters depending on the reads and application.</span></p>
<p>lordFAST, a novel long-read mapper that is specifically designed to align reads generated by PacBio and potentially other SMS technologies to a reference. lordFAST not only has higher sensitivity than the available alternatives, it is also among the fastest and has a very low memory footprint.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/vpc-ccg/lordfast" rel="nofollow">https://github.com/vpc-ccg/lordfast</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
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