<?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/26290?offset=80</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/33917/webinar-on-leukocyte-immunobiology-helps-us-predict-post-operative-risk-using-pre-operative-markers-on-9-aug-8-am-pst</guid>
	<pubDate>Tue, 18 Jul 2017 08:21:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/33917/webinar-on-leukocyte-immunobiology-helps-us-predict-post-operative-risk-using-pre-operative-markers-on-9-aug-8-am-pst</link>
	<title><![CDATA[Webinar on Leukocyte immunobiology helps us predict post-operative risk using pre-operative markers on 9 Aug, 8 am PST]]></title>
	<description><![CDATA[<h2><strong><a href="http://www.strand-ngs.com/webinar_registration#registration-form">Free Live Webinar on Leukocyte immunobiology helps us predict post-operative risk using pre-operative markers on 9 Aug, 8 am PST</a></strong></h2><h2 id="Next-gen-seq"><em><a href="http://www.strand-ngs.com/webinar_registration">Speaker:</a></em></h2><p><strong>Mario Deng</strong><span>&nbsp;MD FACC FESC</span><br /><span>Professor of Medicine</span><br /><span>Advanced Heart Failure/Mechanical</span><br /><span>Support/Heart Transplant</span><br /><span>David Geffen School of&nbsp;</span><br /><span>Medicine at UCLA</span><br /><span>Ronald Reagan UCLA Medical Center</span></p><h2><em><a href="http://www.strand-ngs.com/webinar_registration">Abstract:</a></em></h2><div id="more-webinar"><p>Strand NGS supports a comprehensive and flexible RNA-Seq data analysis workflow consisting of Alignment, Quality Assessment, Filters, and a range of analysis and visualization options that help in studying a variety of samples and answering long-standing biological questions.</p></div><div><p>In this webinar, Dr. Deng will discuss the analysis of transcriptome, flow cytometry and cytokine data from pre-operative blood samples of advanced heart failure patients undergoing Mechanical Circulatory Support (MCS) surgery. He will discuss in detail the identification of prominent clinical variables, a set of transcriptome biomarkers, and their role in the context of systems biology. Finally, the application of Class Prediction algorithms in Strand NGS for identification of high-risk patients will be illustrated.</p><p>This immunobiology based study highlights the potential of machine learning techniques in clinical risk prediction and patient management, and from a clinician&rsquo; s perspective, the utility of biomarker discovery studies in helping patients make more informed decisions as a step towards personalized precision medicine.</p><p><em><a href="http://www.strand-ngs.com/webinar_registration#registration-form">Register here</a></em></p></div>]]></description>
	<dc:creator>Yeshodari</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/32253/webinar-on-fast-and-accurate-dna-variant-calling-on-26-apr-2017</guid>
	<pubDate>Fri, 21 Apr 2017 06:14:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/32253/webinar-on-fast-and-accurate-dna-variant-calling-on-26-apr-2017</link>
	<title><![CDATA[Webinar on Fast and Accurate DNA Variant Calling on 26 Apr 2017]]></title>
	<description><![CDATA[<p>Continuing our&nbsp;<a href="http://www.strand-ngs.com/webinar_registration">DNA-Seq webinar series</a>, we'll present Strand NGS v3.0 best-practices: a workflow that identifies highly accurate variants from raw reads. Our best practices workflow is twice as fast as its GATK counterpart, and results in precision/recall rates of up to 99%/98% on whole exome and whole genome samples. We'll also&nbsp;<a href="http://www.strand-ngs.com/webinar_registration">speak briefly</a>&nbsp;about some of the other features in v3.0 including one-shot pipelines, TSS plots, RNA-Seq performance improvements, and, for the first time, HGVS notations for SNP effect analysis.</p><p>Register here:&nbsp;<a href="http://www.strand-ngs.com/webinar_registration"></a><a href="http://www.strand-ngs.com/webinar_registration">http://www.strand-ngs.com/webinar_registration</a></p>]]></description>
	<dc:creator>Yeshodari</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/28940/webinar-on-implications-of-next-generation-sequencing-in-molecular-diagnosis-of-cancer-on-28-sep-2016</guid>
	<pubDate>Thu, 01 Sep 2016 01:52:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/28940/webinar-on-implications-of-next-generation-sequencing-in-molecular-diagnosis-of-cancer-on-28-sep-2016</link>
	<title><![CDATA[Webinar on Implications of Next Generation Sequencing in Molecular Diagnosis of Cancer on 28 Sep 2016]]></title>
	<description><![CDATA[<h3>Abstract:</h3><p>Genetic testing requires screening of the entire gene, which by conventional sequencing is time consuming and expensive. Next Generation Sequencing (NGS) based approaches increase the sensitivity of mutation detection, making it fast and cost-effective compared to the conventional tests performed in a reflex-testing mode. Strand NGS includes workflows with quality assessment and filter sections that do not require any manual intervention. Post-analytical workflows in Strand NGS allow users to execute sequence analysis with stringent filtering to eliminate false positive and low quality reads. This simplifies the analysis in large scale cohort settings, where every sample needs to be processed identically.</p><p>In this webinar we will discuss the implications of next generation sequencing based tests in multi-gene testing. We will also show how NGS based tests help to identify copy number variations, split read analysis and breakpoint identification. Finally, we will show a brief glimpse of Indian cohort data, where NGS based tests have shown improved mutation detection. In this webinar, we will present clinical case studies in on Hereditary Breast and Ovarian Cancer (HBOC) and Retinoblastoma patients to demonstrate how CNV analysis in Strand NGS enables researchers to detect and visualize copy number changes ranging from single exon to full gene.</p><h3>Speaker:</h3><p>Dr. Jaya Singh, Senior Scientist, Strand Life Sciences</p><p><strong>Date:</strong> <a href="http://www.strand-ngs.com/webinar_registration">28 September 2016</a></p><p><strong>Session1:</strong> <a href="http://www.strand-ngs.com/webinar_registration">2:30 PM IST</a></p><p><strong>Session2:</strong> <a href="http://www.strand-ngs.com/webinar_registration">10 PM IST</a></p><p><a href="http://www.strand-ngs.com/webinar_registration"><strong>Register here:</strong></a>&nbsp;http://www.strand-ngs.com/webinar_registration</p>]]></description>
	<dc:creator>Strand</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/11365/drawback-of-exome-sequencing</guid>
	<pubDate>Mon, 02 Jun 2014 05:46:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/11365/drawback-of-exome-sequencing</link>
	<title><![CDATA[Drawback of Exome Sequencing]]></title>
	<description><![CDATA[<p><span><span>Dr Eric Londin, Assistant Professor, Thomas Jefferson University, USA, stated that analysis of 44 exome datasets from four different testing kits showed that they missed a high proportion of clinically relevant regions in the 56 ACMG genes. "At least one gene in each exome method was missing more than 40 percent of disease-causing genetic variants, and we found that the worst-performing method missed more than 90 percent of such variants in four of the 56 genes," he says.</span><br /></span></p><p><span><strong>Source</strong>:&nbsp;http://www.eurekalert.org/pub_releases/2014-05/esoh-pco052914.php</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/856/papenfuss-lab</guid>
  <pubDate>Sun, 14 Jul 2013 12:22:28 -0500</pubDate>
  <link></link>
  <title><![CDATA[Papenfuss Lab]]></title>
  <description><![CDATA[
<p>The human genome project and similar projects in disease-causing organisms such as Plasmodium falciparum, which causes malaria in humans, have provided new tools for discovery in biology and have accelerated the development of understanding in human disease.</p>

<p>Research Area: <br />Analysis of Next Generation sequence data in cancer<br />Methods for analysis of structural variation in cancer genomes<br />Next Generation sequencing in malaria<br />Computational comparative genomics<br />Sensitive genomic sequence search techniques using hidden Markov models<br />Tasmanian devil facial tumour disease</p>

<p>Link @ http://www.wehi.edu.au/faculty_members/dr_tony_papenfuss</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/869/bioinformatics-phd-studentship-available-in-new-zealand</guid>
  <pubDate>Sun, 14 Jul 2013 13:36:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics PhD studentship available in New Zealand]]></title>
  <description><![CDATA[
<p>Bioinformatics PhD studentship available in New Zealand</p>

<p>The importance of transcriptional control has been explored in a burgeoning line of research over several decades; nevertheless, we are still far from having a complete picture of the regulatory mechanisms of genes and non-coding RNAs, and their influences on different phenotypes and disease states of a cell. Recent shifts towards large-scale analyses of transcriptional regulation on a sequence and epigenetic level are at the forefront of research, mainly due to sequencing technology advancements and a deeper understanding of the fundamental regulatory processes involved.</p>

<p>Arriving at a better understanding of the influence of specific parts of the overall regulatory machinery on disease states is a high priority of the group’s research agenda.</p>

<p>We are seeking an enthusiastic student to join the group as a PhD student. Applicants must have a BSc(Hons) or MSc degree in a relevant discipline and a willingness to learn and apply new techniques and work in a team. Both local and international students are encouraged to apply.</p>

<p>The studentship covers all university fees and an annual tax-exempt stipend of NZ$22,000 for three years.</p>

<p>Sebastian Schmeier recently joined Massey University and started his own research group in Auckland, New Zealand, a city regularly ranked one of the most livable in the world. This is your chance to experience the amazing Auckland lifestyle and the excitement of joining a young new science team, while staying connected to world class scientific networks.</p>

<p>To apply for the post, please send a cover letter stating your interest in the position and why you think you would be a good candidate, a Curriculum Vitae, a copy of your academic transcript, a sample of your written scientific work, and the names of three referees. Applications will be accepted until the position is filled.</p>

<p>Enquiries and applications to Sebastian Schmeier (s.schmeier@massey.ac.nz).</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/923/phylogenetic-for-bioinformatics</guid>
	<pubDate>Tue, 16 Jul 2013 03:50:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/923/phylogenetic-for-bioinformatics</link>
	<title><![CDATA[Phylogenetic for Bioinformatics]]></title>
	<description><![CDATA[<p>Biologists estimate that there are about 5 to 100 million species of organisms living on Earth today. Evidence from morphological, biochemical, and gene sequence data suggests that all organisms on Earth are genetically related, and the genealogical relationships of living things can be represented by a vast evolutionary tree, the Tree of Life. The Tree of Life then represents the phylogeny of organisms, i. e., the history of organismal lineages as they change through time.<br />Every living organism contains DNA, RNA, and proteins. Closely related organisms generally have a high degree of agreement in the molecular structure of these substances, while the molecules of organisms distantly related usually show a pattern of dissimilarity. Molecular phylogeny uses such data to build a "relationship tree" that shows the probable evolution of various organisms. Not until recent decades, however, has it been possible to isolate and identify these molecular structures.&nbsp;<br />phylogenetics is the study of evolutionary relatedness among various groups of organisms (for example, species or populations), which is discovered through molecular sequencing data and morphological data matrices. In other word, Phylogenetics, the science of phylogeny, is one part of the larger field of systematics, which also includes taxonomy. Taxonomy is the science of naming and classifying the diversity of organisms Molecular phylogeny is the use of the structure of molecules to gain information on an organism's evolutionary relationships. The result of a molecular phylogenetic analysis is expressed in a so-called phylogenetic tree.</p><p>The evolutionary connections between organisms are represented graphically through phylogenetic trees. Due to the fact that evolution takes place over long periods of time that cannot be observed directly, biologists must reconstruct phylogenies by inferring the evolutionary relationships among present-day organisms.&nbsp;<br />Application of the techniques that make this possible can be seen in the very limited field of human genetics, such as the ever more popular use of genetic testing to determine a child's paternity, as well as the emergence of a new branch of criminal forensics focused on genetic evidence.<br />The effect on traditional scientific classification schemes in the biological sciences has been dramatic as well. Work that was once immensely labor- and materials-intensive can now be done quickly and easily, leading to yet another source of information becoming available for systematic and taxonomic appraisal. This particular kind of data has become so popular that taxonomical schemes based solely on molecular data may be encountered. Proponents even claim that taxonomy was previously based on morphology alone, which of course is utter fable.<br /><br /><strong>For additional information on phylogenetics, see list of Phylogenetics Resources on the Internet.</strong></p><p>Phylogeny and Reconstructing Phylogenetic Trees:&nbsp;<a href="http://aleph0.clarku.edu/~djoyce/java/Phyltree/cover.html"></a><a href="http://aleph0.clarku.edu/~djoyce/java/Phyltree/cover.html">http://aleph0.clarku.edu/~djoyce/java/Phyltree/cover.html</a><br />the CBRG and Department of Statistics Phylogeny tutorial:&nbsp;<a href="http://www.compbio.ox.ac.uk/tutorials/phylogeny/"></a><a href="http://www.compbio.ox.ac.uk/tutorials/phylogeny/">http://www.compbio.ox.ac.uk/tutorials/phylogeny/</a><br />TUTORIAL: PHYLOGENETIC ANALYSIS USING PARSIMONY:<a href="http://home.cc.umanitoba.ca/~psgendb/GDE/phylogeny/parsimony/phylip.parsimony.html"></a><a href="http://home.cc.umanitoba.ca/~psgendb/GDE/phylogeny/parsimony/phylip.parsimony.html">http://home.cc.umanitoba.ca/~psgendb/GDE/phylogeny/parsimony/phylip.parsimony.html</a></p><p>PHYLIP:&nbsp;<a href="http://www.umanitoba.ca/afs/plant_science/psgendb/doc/Phylip/main.html"></a><a href="http://www.umanitoba.ca/afs/plant_science/psgendb/doc/Phylip/main.html">http://www.umanitoba.ca/afs/plant_science/psgendb/doc/Phylip/main.html</a><br />An Introduction to Molecular Phylogeny:&nbsp;<a href="http://bibiserv.techfak.uni-bielefeld.de/gcb04/tutorials/hoef-emden/GCB04Tut.pdf"></a><a href="http://bibiserv.techfak.uni-bielefeld.de/gcb04/tutorials/hoef-emden/GCB04Tut.pdf">http://bibiserv.techfak.uni-bielefeld.de/gcb04/tutorials/hoef-emden/GCB04Tut.pdf</a></p><p>How to make a phylogenetic tree:&nbsp;<a href="http://www.hiv.lanl.gov/content/sequence/TUTORIALS/TREE_TUTORIAL/Tree"></a><a href="http://www.hiv.lanl.gov/content/sequence/TUTORIALS/TREE_TUTORIAL/Tree">http://www.hiv.lanl.gov/content/sequence/TUTORIALS/TREE_TUTORIAL/Tree</a>tutorial.html<br />Phylogenetic Trees:&nbsp;<a href="http://cnx.org/content/m11052/latest/"></a><a href="http://cnx.org/content/m11052/latest/">http://cnx.org/content/m11052/latest/</a><br />Phylogeny by Ron Shamir:&nbsp;<a href="http://www.cs.tau.ac.il/~rshamir/algmb/01/scribe08/lec08.pdf"></a><a href="http://www.cs.tau.ac.il/~rshamir/algmb/01/scribe08/lec08.pdf">http://www.cs.tau.ac.il/~rshamir/algmb/01/scribe08/lec08.pdf</a><br />Introduction to Phylogeny:&nbsp;<a href="http://www.utm.edu/departments/cens/biology/rirwin/391/391Phylog.htm"></a><a href="http://www.utm.edu/departments/cens/biology/rirwin/391/391Phylog.htm">http://www.utm.edu/departments/cens/biology/rirwin/391/391Phylog.htm</a><br />Lecturer notes on Phylogeny:&nbsp;<a href="http://www.sbc.su.se/~bens/course_material/phylocourse1/lecture2.pdf"></a><a href="http://www.sbc.su.se/~bens/course_material/phylocourse1/lecture2.pdf">http://www.sbc.su.se/~bens/course_material/phylocourse1/lecture2.pdf</a><br />Principles and Practice of Phylogenetic Systematics:<a href="http://www.faculty.biol.ttu.edu/Strauss/Phylogenetics/LectureNotes.htm"></a><a href="http://www.faculty.biol.ttu.edu/Strauss/Phylogenetics/LectureNotes.htm">http://www.faculty.biol.ttu.edu/Strauss/Phylogenetics/LectureNotes.htm</a></p><p>Inferring phylogenetic trees:&nbsp;<a href="http://www.cis.hut.fi/Opinnot/T-61.6070/slides2008/pres_6070.pdf"></a><a href="http://www.cis.hut.fi/Opinnot/T-61.6070/slides2008/pres_6070.pdf">http://www.cis.hut.fi/Opinnot/T-61.6070/slides2008/pres_6070.pdf</a></p><p><strong>Lecture Notes</strong></p><p>Chapter 1 - The Diversity, Classification, and Evolution of Vertebrates:<a href="http://academic.emporia.edu/mooredwi/nathist/chap1.htm"></a><a href="http://academic.emporia.edu/mooredwi/nathist/chap1.htm">http://academic.emporia.edu/mooredwi/nathist/chap1.htm</a></p><p>Algorithms for Phylogenetic Reconstructions:<a href="http://lectures.molgen.mpg.de/Algorithmische_Bioinformatik_WS0405/phylogeny_script.pdf"></a><a href="http://lectures.molgen.mpg.de/Algorithmische_Bioinformatik_WS0405/phylogeny_script.pdf">http://lectures.molgen.mpg.de/Algorithmische_Bioinformatik_WS0405/phylogeny_script.pdf</a></p><p>Phylogeny.fr is a free, simple to use web service dedicated to reconstructing and analysing phylogenetic relationships between molecular sequences. Phylogeny.fr runs and connects various bioinformatics programs to reconstruct a robust phylogenetic tree from a set of sequences. For more detail :&nbsp;<a href="http://www.phylogeny.fr/version2_cgi/index.cgi"></a><a href="http://www.phylogeny.fr/version2_cgi/index.cgi">http://www.phylogeny.fr/version2_cgi/index.cgi</a></p><p>A Brief Tutorial on Phylogenetics<br /><a href="http://bioss.ac.uk/~dirk/talks/tutorial_phylogenetics.pdf"></a><a href="http://bioss.ac.uk/~dirk/talks/tutorial_phylogenetics.pdf">http://bioss.ac.uk/~dirk/talks/tutorial_phylogenetics.pdf</a></p><p>A Brief Tutorial on Phylogenetics Human Rabbit Chicken<br /><a href="http://bioss.ac.uk/~dirk/talks/psnup_tutorial_phylogenetics.pdf"></a><a href="http://bioss.ac.uk/~dirk/talks/psnup_tutorial_phylogenetics.pdf">http://bioss.ac.uk/~dirk/talks/psnup_tutorial_phylogenetics.pdf</a></p><p>Phylogenetic Tree Computation Tutorial Overview<br /><a href="http://pga.lbl.gov/Workshop/April2002/lectures/Olken.pdf"></a><a href="http://pga.lbl.gov/Workshop/April2002/lectures/Olken.pdf">http://pga.lbl.gov/Workshop/April2002/lectures/Olken.pdf</a></p><p>MrBayes: A program for the Bayesian inference of phylogeny<br /><a href="http://golab.unl.edu/teaching/SBseminar/manual.pdf"></a><a href="http://golab.unl.edu/teaching/SBseminar/manual.pdf">http://golab.unl.edu/teaching/SBseminar/manual.pdf</a></p><p><strong>Web sites providing software for the construction of phylogenetic trees</strong></p><ul>
<li><a href="http://www.mbio.ncsu.edu/BioEdit/bioedit.html">BioEdit</a></li>
</ul><ul>
<li><a href="http://www.dinofish.com/">Coelocanth-Fish Out of Time</a></li>
</ul><ul>
<li><a href="http://cbrg.inf.ethz.ch/">Computational Biochemistry Research Group</a></li>
</ul><ul>
<li><a href="http://www.geocities.com/RainForest/Vines/8695/software.html">Digital Taxonomy</a></li>
</ul><ul>
<li><a href="http://www.cladistics.org/education/hennig86.html">Hennig 86</a></li>
</ul><ul>
<li><a href="http://www.bioinformaticssolutions.com/">Hyperclean</a>&nbsp;from Bioinformatics Solutions, Inc.</li>
</ul><ul>
<li><a href="http://www.mun.ca/biology/scarr/Directory.html">Memorial University of Newfoundland</a></li>
</ul><ul>
<li><a href="http://morphbank.ebc.uu.se/mrbayes/">Mr. Bayes</a></li>
</ul><ul>
<li><a href="http://www.cladistics.com/about_nona.htm">NONA</a></li>
</ul><ul>
<li><a href="http://evolve.zoo.ox.ac.uk/">Oxford University Evolutionary Biology Group</a></li>
</ul><ul>
<li><a href="http://flatpebble.nceas.ucsb.edu/public/">Paleobiology Database</a></li>
</ul><ul>
<li><a href="http://paup.csit.fsu.edu/index.html">PAUP</a></li>
</ul><ul>
<li><a href="http://evolution.genetics.washington.edu/phylip.html">Phylip Homepage</a></li>
</ul><ul>
<li><a href="http://research.amnh.org/scicomp/projects/poy.php">Poy</a></li>
</ul><ul>
<li><a href="http://www.sinauer.com/">Sinauer Associates</a></li>
</ul><ul>
<li><a href="http://www.cladistics.org/downloads/webtnt.html">TNT</a>-Tree Analysis Using New Technology</li>
</ul><ul>
<li><a href="http://www.treebase.org/treebase/index.html">Tree Base</a></li>
</ul><ul>
<li><a href="http://www.treefinder.de/">Treefinder</a></li>
</ul><ul>
<li><a href="http://www.tree-puzzle.de/">Tree-Puzzle</a></li>
</ul><ul>
<li><a href="http://taxonomy.zoology.gla.ac.uk/rod/treeview.html">Tree View</a>-Taxonomy and Systematics Group at Glasgow</li>
</ul><ul>
<li><a href="http://evolution.genetics.washington.edu/phylip/software.html">Washington University</a>-List of Phylogeny Software</li>
</ul>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1469/prime-minister%E2%80%99s-100k-genome-project</guid>
	<pubDate>Thu, 08 Aug 2013 09:40:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1469/prime-minister%E2%80%99s-100k-genome-project</link>
	<title><![CDATA[Prime Minister’s 100k Genome Project]]></title>
	<description><![CDATA[<p>Genomics Ebgland is destined to sequence 100,000 patients over the next five year in England.&nbsp; A landmark project by british government.</p><p>Genomics England will play a key role in building on the UK&rsquo;s long track record as leader in medical science advances to push the boundaries by unlocking the power of DNA data. The UK will become the first ever country to introduce this technology in its mainstream health system &ndash; leading the global race for better tests, better drugs and above all better, more personalised care.</p><p>http://www.genomicsengland.co.uk/100k-genome-project/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1886/interpretomics</guid>
	<pubDate>Sun, 11 Aug 2013 10:24:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1886/interpretomics</link>
	<title><![CDATA[InterpretOmics]]></title>
	<description><![CDATA[<p>InterpretOmics, a big data analytics startup that focuses on life sciences, has received angel funding of around Rs 10 crore from a group of investors including Singapore's information technology and shipping company, Amarante.</p><p>http://www.interpretomics.co/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/2002/ibl-laboratory</guid>
  <pubDate>Mon, 12 Aug 2013 02:02:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[IBL laboratory]]></title>
  <description><![CDATA[
<p>The IBL laboratory focuses on the multi-disciplinary analyses of the global responses of model microorganisms, cyanobacteria (mainly Synechocystis PCC6803) and yeasts (mainly Saccharomyces cerevisae) to environmental stresses triggered by oxidative agents, heavy metals, or drastic changes in nutrients availability. The genome-wide responses studied with the "omics" techniques (transcriptomics, proteomics, metabolomics and genetics) generate a wealth of experimental data, which are processed, archived, integrated and represented as working models through bioinformatics and mathematics. </p>

<p>Link : http://www-dsv.cea.fr/en/instituts/institut-de-biologie-et-de-technologies-de-saclay-ibitec-s/unites-de-recherche/service-de-biologie-integrative-et-genetique-moleculaire-sbigem/laboratoire-de-biologie-integrative-lbi/presentation__1</p>
]]></description>
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