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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26571?offset=10</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30901/ideoplot</guid>
	<pubDate>Mon, 13 Feb 2017 09:47:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30901/ideoplot</link>
	<title><![CDATA[Ideoplot]]></title>
	<description><![CDATA[<p>Simple ideogram plotting and annotation in R.</p>
<p>Basic usage:</p>
<p>Rscript Ideoplot.R --heatmap hm.bed --annotate annotations.bed --out ideogram.pdf<br> -or-<br> Rscript Ideoplot.R --annotate annotations.bed</p>
<pre>Options
  --ideobed, i      A bed file of reference contig lengths/chromosome names
  --heatmap, -h     Fill chromosomes with normalized heatmap
                   (described below)
  --annotate, -a    Add character annotations.
  --out, -o         PDF output name.
  --stripes, -s     Specify a file containing the layout of the
                    annotations (description below)
  --bars, -b        Add track annotations
  --reference, -f   Either hg19, or hg38
  --topdown, r      Flag, when set, flips the orientation (P arms
                    drawn on top).
</pre><p>Address of the bookmark: <a href="https://github.com/mchaisso/Ideoplot" rel="nofollow">https://github.com/mchaisso/Ideoplot</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31014/sockeye</guid>
	<pubDate>Fri, 17 Feb 2017 08:51:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31014/sockeye</link>
	<title><![CDATA[sockeye]]></title>
	<description><![CDATA[<p>This sockeye&nbsp;software uses the Ensembl database project to import sequence and annotation information from several eukaryotic species. A user can additionally import their own custom sequence and annotation data. Individual annotation objects are displayed in Sockeye by using custom 3D models. Ensembl-derived and imported sequences can be analyzed by using a suite of multiple and pair-wise alignment algorithms. The results of these comparative analyses are also displayed in the 3D environment of Sockeye. By using the Java3D API to visualize genomic data in a 3D environment, we are able to compactly display cross-sequence comparisons. This provides the user with a novel platform for visualizing and comparing genomic feature organization.</p><p>Address of the bookmark: <a href="http://www.bcgsc.ca/platform/bioinfo/software/sockeye/releases/1.3" rel="nofollow">http://www.bcgsc.ca/platform/bioinfo/software/sockeye/releases/1.3</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32187/chromhmm-chromatin-state-discovery-and-characterization</guid>
	<pubDate>Wed, 19 Apr 2017 04:06:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32187/chromhmm-chromatin-state-discovery-and-characterization</link>
	<title><![CDATA[ChromHMM: Chromatin state discovery and characterization]]></title>
	<description><![CDATA[<p><span>ChromHMM is software for learning and characterizing chromatin states. ChromHMM can integrate multiple chromatin datasets such as ChIP-seq data of various histone modifications to discover de novo the major re-occuring combinatorial and spatial patterns of marks. ChromHMM is based on a multivariate Hidden Markov Model that explicitly models the presence or absence of each chromatin mark. The resulting model can then be used to systematically annotate a genome in one or more cell types. By automatically computing state enrichments for large-scale functional and annotation datasets ChromHMM facilitates the biological characterization of each state. ChromHMM also produces files with genome-wide maps of chromatin state annotations that can be directly visualized in a genome browser.&nbsp;</span><br><br></p>
<ul>
<li><a href="http://compbio.mit.edu/ChromHMM/ChromHMM.zip">ChromHMM software v1.12</a>&nbsp;(<a href="http://compbio.mit.edu/ChromHMM/versionlog.txt">version log</a>)</li>
<li><a href="http://compbio.mit.edu/ChromHMM/ChromHMM_manual.pdf">ChromHMM manual</a></li>
</ul><p>Address of the bookmark: <a href="http://compbio.mit.edu/ChromHMM/" rel="nofollow">http://compbio.mit.edu/ChromHMM/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/872/jayaram-lab</guid>
  <pubDate>Sun, 14 Jul 2013 14:04:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[Jayaram Lab]]></title>
  <description><![CDATA[
<p>Responsible (a) for developing Chemgenome, Bhageerath &amp; Sanjeevini methods &amp; softwares for genome annotation, protein tertiary structure prediction &amp; computer aided drug design respectively, (b) for setting up a multi-teraflop supercomputing facility for Bioinformatics &amp; Computational Biology at IIT Delhi, and (c) for making the hardware and software freely accessible at (www.scfbio-iitd.res.in) to the global scientific user community.</p>

<p>Faculty facilitator/Founder Director for two start-up companies (Leadinvent incubated at IIT, Delhi from 2006-2009 &amp; Novoinformatics, under incubation at IIT Delhi since 2011).</p>

<p>Research Interest <br />Genome Analysis, Protein Structure Prediction and Drug Design.</p>

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

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

<p>Lab Page http://www.bigre.ulb.ac.be/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37636/department-of-genetics-genomics-and-bioinformatics-national-biotechnology-development-agency-nigeria</guid>
	<pubDate>Wed, 05 Sep 2018 10:48:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37636/department-of-genetics-genomics-and-bioinformatics-national-biotechnology-development-agency-nigeria</link>
	<title><![CDATA[DEPARTMENT OF GENETICS, GENOMICS AND BIOINFORMATICS, National Biotechnology Development Agency, Nigeria]]></title>
	<description><![CDATA[<p>The Genetics, Genomics &amp; Bioinformatics Department (GBBD) at NABDA is unique, encompassing all facets of modern genetics and bioinformatics research. Trans-disciplinary research being conducted in our laboratories would lead to cures for human diseases; improvements to crop and livestock quality and yield; creation of new technologies with applications to medicine; agriculture; environment; and industry.</p>
<p>Our capacity building activities covers both general and specialized topics in translational genetics, and is designed to better acquaint scientists and clinicians with the tools and technologies of genetics and genomics.</p>
<p><span>OUR RESEARCH ACTIVITIES INCLUDE:</span></p>
<div>
<ul>
<li>Biomedical Genetics: investigating genetic and environmental factors contributing to phenotypes with relevance to human health and disease.</li>
<li>Computation and Bioinformatics: develop new approaches for the management, analysis, and modelling of large, complex data sets.</li>
<li>Population and Quantitative Genetics: study of how genetic processes evolve to generate genetic variation in populations of organisms, and the effects on the patterning of variation within and between populations and specie, and</li>
<li>Genetic Engineering and Biotechnology: focuses on the research and innovation for industrial enzymes, biologics and biosimilars production.</li>
</ul>
<p>https://www.h3abionet.org/nabda</p>
</div><p>Address of the bookmark: <a href="http://www.nabda.gov.ng/departments/genetics-genomics-and-bioinformatics" rel="nofollow">http://www.nabda.gov.ng/departments/genetics-genomics-and-bioinformatics</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2492/plos-computational-biology-translational-bioinformatics-educational-resources</guid>
	<pubDate>Fri, 16 Aug 2013 12:24:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2492/plos-computational-biology-translational-bioinformatics-educational-resources</link>
	<title><![CDATA[PLOS Computational Biology: Translational Bioinformatics educational resources]]></title>
	<description><![CDATA[<p>PLOS present collection of Education articles:&nbsp; &ldquo;Translational Bioinformatics&rdquo;. This collection is presented as an online &ldquo;book&rdquo; which could serve as a reference tool for a graduate level introductory course, marking a step in an exciting new direction for the Education section of the journal.</p>
<p>Blog : http://blogs.plos.org/biologue/2012/12/28/translational-bioinformatics-plos-computational-biology-presents-an-educational-resource-for-an-emerging-field/</p>
<p>Educational Material : http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11</p><p>Address of the bookmark: <a href="http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11" rel="nofollow">http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/42810/bioinformatics-in-africa-part3-mali</guid>
	<pubDate>Sat, 06 Feb 2021 13:28:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/42810/bioinformatics-in-africa-part3-mali</link>
	<title><![CDATA[Bioinformatics in Africa: Part3 - Mali]]></title>
	<description><![CDATA[<p>International&nbsp;Center&nbsp;for&nbsp;Excellence&nbsp;in&nbsp;Research&nbsp;(ICER):</p><p>The&nbsp;ICER&nbsp;is&nbsp;a&nbsp;research&nbsp;center&nbsp;composed&nbsp;of&nbsp;the&nbsp;following&nbsp;three&nbsp;programs: 1. The&nbsp;Malaria&nbsp;Research&nbsp;and&nbsp;Training&nbsp;Center&nbsp;&shy;&nbsp;Parasitology&nbsp;Group,&nbsp; 2. The&nbsp;Malaria&nbsp;Research&nbsp;and&nbsp;Training&nbsp;Center&nbsp;&shy;&nbsp;Entomology&nbsp;Group&nbsp; 3. The&nbsp;SEREFO&nbsp;Group.</p><p>The&nbsp;first&nbsp;two&nbsp;programs&nbsp;develop&nbsp;biomedical&nbsp;researches&nbsp;in&nbsp;malaria,&nbsp;Filariasis&nbsp;and&nbsp;Leishmaniasis.&nbsp;The&nbsp; third&nbsp;program&nbsp;develops&nbsp;biomedical&nbsp;researches&nbsp;in&nbsp;tuberculosis&nbsp;and&nbsp;HIV.</p><p>Bioinformatics&nbsp;was&nbsp;introduced&nbsp;recently&nbsp;to&nbsp;the&nbsp;ICER&nbsp;and&nbsp;is&nbsp;constantly&nbsp;growing.&nbsp;The&nbsp;ICER&nbsp;has&nbsp;one&nbsp; team,&nbsp;headed&nbsp;by&nbsp;Sidy&nbsp;SOUMARE,&nbsp;which&nbsp;supports&nbsp;the&nbsp;three&nbsp;programmes&nbsp;in&nbsp;all&nbsp;their&nbsp;needs&nbsp;in&nbsp; informatics&nbsp;and&nbsp;bioinformatics.&nbsp;This&nbsp;team&nbsp;can&nbsp;beneficiate&nbsp;from&nbsp;some&nbsp;computational&nbsp;facilities&nbsp;(4&nbsp; blast&nbsp;servers,&nbsp;15&nbsp;other&nbsp;servers&nbsp;and&nbsp;around&nbsp;200&nbsp;terminals),&nbsp;but&nbsp;the&nbsp;ICER&nbsp;staff&nbsp;needs&nbsp;some&nbsp;training&nbsp;in&nbsp; order&nbsp;to&nbsp;be&nbsp;able&nbsp;to&nbsp;administrate&nbsp;these&nbsp;facilities.</p><p>Research&nbsp;Interest&nbsp;and&nbsp;Activities: The&nbsp;following&nbsp;are&nbsp;the&nbsp;present&nbsp;areas&nbsp;of&nbsp;research&nbsp;interest: 1. Functional&nbsp;genomics 2. Analysis&nbsp;of&nbsp;microarray&nbsp;data 3. Interaction&nbsp;between&nbsp;the&nbsp;vector&nbsp;and&nbsp;the&nbsp;parasite.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

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