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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/8330?offset=40</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/17751/jrf-in-bioinformatics-inmas-drdodelhi</guid>
  <pubDate>Wed, 01 Oct 2014 07:01:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF in Bioinformatics @ INMAS, DRDO,Delhi]]></title>
  <description><![CDATA[
<p>Institute of Nuclear Medicine and Allied Sciences (INMAS), Delhi under the aegis of Defence Research and Development Organisation (DRDO), is engaged in research and developmental work in radiation sciences, Neuro-Computing and Medical Image Processing. INMAS is looking for meritorious young researchers for pursuing research in the frontier areas at INMAS. The Institute invites applications from young and meritorious Indian nationals who are creative, have passion and desire to pursue R&amp;D in frontier areas. INMAS possesses ambience of a research cum academic institute coupled with an advanced R&amp;D infrastructure in a mission mode. It provides the best infrastructure, motivation and personality development prospects for talented students, dreaming of unparalleled success in their professional endeavors. INMAS provides state of the art research facilities for undertaking pioneering research with defence applications. </p>

<p>JRF (Maximum Tenure‐ Five Years: 2yrs as JRF and 3yrs  as SRF) 	<br />A first class Master’s Degree in Bioinformatics (likely 2 posts) 	<br />Around Rs 16,000/ Plus 30% HRA (as per rules of funding agency)</p>

<p>Applications are invited from candidates possessing the above qualifications. The upper age limit is as on the last date for receipt of application. (5 years relaxation to SC/ST candidates, 3 years to OBC candidates, and other entitled categories as per Govt rules). Actual No. of vacancies may vary.</p>

<p>Application form can be download from the website www.drdo.gov.in and E Mailed to inmashrd@gmail.com.<br />Last date to apply by email is 1700 hrs on 15 Oct 2014<br />Incomplete applications are liable to be rejected.<br />Confirmation will be sent to short-listed candidates through email only<br />Antecedents of selected candidates will be verified.<br />Written Test will be conducted from 0930-1030 hrs. Latecomers will not be considered.<br />Candidates will be required to produce certificates/testimonials in original at the time of interview.<br />It may please be noted that offer of Fellowship does not confer on fellows any right for absorption in DRDO.<br />Candidates should carry photocopy of Application form sent by email with them.<br />No TA/DA will be paid for attending interview &amp; on joining.<br />Last date to apply by email is 1700 hrs on 15 Oct 2014</p>

<p>More at http://drdo.gov.in/drdo/English/jrf29092014.pdf<br />http://drdo.gov.in/drdo/English/index.jsp?pg=inmas29092014.jsp</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19636/google-genomics</guid>
	<pubDate>Thu, 18 Dec 2014 11:05:42 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19636/google-genomics</link>
	<title><![CDATA[Google Genomics]]></title>
	<description><![CDATA[<ul>
<li>
<p><strong>Explore genetic variation interactively.</strong> Compare entire cohorts in seconds with SQL-like queries. Compute transition/transversion ratios, genome-wide association, allelic frequency and more.</p>
</li>
<li>
<p><strong>Process big genomic data easily.</strong> Run batch analyses like principal component analysis and Hardy-Weinberg equilibrium on as many samples as you like, in minutes or hours, with just a little code.</p>
</li>
<li>
<p><strong>Use Google's infrastructure and big data expertise.</strong> Store one genome or a million using Google Genomics and take advantage of the same infrastructure that powers Search, Maps, YouTube, Gmail and Drive.</p>
</li>
<li>
<p><strong>Support emerging global standards.</strong> Google Genomics is implementing the API defined by the Global Alliance for Genomics and Health for visualization, analysis and more. Compliant software can access Google Genomics, local servers, or any other implementation.</p>
</li>
</ul><p>Address of the bookmark: <a href="https://cloud.google.com/genomics/" rel="nofollow">https://cloud.google.com/genomics/</a></p>]]></description>
	<dc:creator>Tenzin Paul</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/20454/comparative-genomics-in-ensembl</guid>
	<pubDate>Wed, 21 Jan 2015 08:31:11 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/20454/comparative-genomics-in-ensembl</link>
	<title><![CDATA[Comparative Genomics in Ensembl]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/dDRdCnZOMCM" frameborder="0" allowfullscreen></iframe>The Ensembl browser provides viewable whole-genome alignments, homologues and phylogenetic gene trees, protein families, and ancestral sequences.  Learn how to view and export these data in this video.]]></description>
	
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22403/ryan-e-mills-lab</guid>
  <pubDate>Tue, 26 May 2015 09:29:24 -0500</pubDate>
  <link></link>
  <title><![CDATA[Ryan E. Mills Lab]]></title>
  <description><![CDATA[
<p>Our research group is primarily focused on the analysis of whole genome sequence data to identify genetic variation (primarily structural variation) and examine their potential functional impact in disease phenotypes. We are particularly interested in analyzing complex regions of the genome that are not easily resolved through modern sequencing approaches and which may exhibit interesting mechanistic origins.</p>

<p>We are also interested in the large-scale integration of genomic, expression, methylation and proteomic data sets, as well as the application of whole genome sequence analysis in clinical diagnostics. </p>

<p>More at http://millslab.ccmb.med.umich.edu/index.html</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/23149/raphael-lab</guid>
  <pubDate>Sat, 04 Jul 2015 19:05:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[Raphael Lab]]></title>
  <description><![CDATA[
<p>Raphael Lab research is focused on Bioinformatics and Computational Biology.</p>

<p>Current research interests include next-generation DNA sequencing, structural variation, genome rearrangements in cancer and evolution, and network analysis of somatic mutations in cancer. Earlier research included topics in comparative genomics, multiple sequence alignment, and motif finding.</p>

<p>More athttp://compbio.cs.brown.edu/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/23633/biorg</guid>
  <pubDate>Tue, 04 Aug 2015 20:52:52 -0500</pubDate>
  <link></link>
  <title><![CDATA[BioRG]]></title>
  <description><![CDATA[
<p>This research group works on problems from the fields of Bioinformatics, Biotechnology, Data Mining, and Information Retrieval. The group's research projects includes Comparative Genomics of Bacterial genomes, Metagenomics, Genomic databases, Pattern Discovery in sequences and structures, micro-array data analysis, prediction of regulatory elements, primer design, probe design, phylogenetic analysis, medical image processing, image analysis, data integration, data mining, information retrieval, knowledge discovery in electronic medical records, and more. </p>

<p>More at http://biorg.cis.fiu.edu/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26322/liftover</guid>
	<pubDate>Mon, 08 Feb 2016 15:45:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26322/liftover</link>
	<title><![CDATA[liftover]]></title>
	<description><![CDATA[<p><span>Convenient conversions between genome assemblie.&nbsp;The liftover package makes it easy to remap genomic coordinates to a different genome assembly. </span></p>
<p><span>More at https://github.com/aaronwolen/liftover<br></span></p>
<p><span>https://www.bioconductor.org/help/workflows/liftOver/</span></p><p>Address of the bookmark: <a href="https://github.com/aaronwolen/liftover" rel="nofollow">https://github.com/aaronwolen/liftover</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/1515/list-of-pharmacogenomics-companies-in-india</guid>
	<pubDate>Fri, 09 Aug 2013 13:26:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/1515/list-of-pharmacogenomics-companies-in-india</link>
	<title><![CDATA[List of pharmacogenomics companies in India]]></title>
	<description><![CDATA[<p>pharmacogenomics companies in India are making their good impacts. Here is the list of few pharmacogenomics companies. Please add more if not mentioned here.</p><p>Genomics in India <br /><a href="http://www.ganitlabs.in/">www.ganitlabs.in</a> <br /><a href="http://www.sandor.co.in/">www.sandor.co.in</a> <br /><a href="http://www.igib.res.in/">www.igib.res.in</a> <br /><a href="http://www.genotypic.co.in/">www.genotypic.co.in</a> <br /><a href="http://www.ocimumbio.com/">www.ocimumbio.com</a> <br /><a href="http://www.abcgenomics.com/">www.abcgenomics.com</a> <br /><a href="http://www.xcelrisgenomics.com/">www.xcelrisgenomics.com</a> <br /><a href="http://www.ayugen.com/">www.ayugen.com</a> <br /><a href="http://www.geneombiotech.com/">www.geneombiotech.com</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/2001/the-ontario-institute-for-cancer-research-oicr-genomics-lab-toronto-canada</guid>
  <pubDate>Mon, 12 Aug 2013 01:43:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Ontario Institute for Cancer Research (OICR) Genomics Lab , Toronto, Canada.]]></title>
  <description><![CDATA[
<p>The Human Genome Project led to the development of a wide array of technologies to screen the genome and its products (genes, proteins, metabolites) and molecules that interact with these products (chemicals, RNAi). The existence of these tools resulted in the creation of facilities that use robotics and informatics to generate high-throughput screens of DNA, RNA, protein, tissue, chemicals and other substances.</p>

<p>The genomics platform uses cancer genome sequencing and other high-throughput techniques to identify genes critical to the development of cancer and anomalies in the genomic profile of the tumours.</p>

<p>For more info visit : http://oicr.on.ca/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6458/bigre-lab</guid>
  <pubDate>Sun, 17 Nov 2013 10:35:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[BIGRE Lab]]></title>
  <description><![CDATA[
<p>The Laboratoire de Bioinformatique des Génomes et des Réseaux (Genome and Network Bioinformatics) is specialized in the conception, implementation, evaluation and application of bioinformatics approaches for the analysis of genome, transcriptome, proteome and metabolism.<br />Our main activities include</p>

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

<p>Lab Page http://www.bigre.ulb.ac.be/</p>
]]></description>
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