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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/22769?offset=1240</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/1970/indias-own-first-drug-from-biocon</guid>
	<pubDate>Sun, 11 Aug 2013 16:05:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/1970/indias-own-first-drug-from-biocon</link>
	<title><![CDATA[India&#039;s own first drug - from Biocon.]]></title>
	<description><![CDATA[<p><span><span>Psoriasis is immune-mediated disease that effects the skin. the Disease on an average affects about 10-20 million Indians and it attacks the immune system of human beings. In generally occurs, when the immune system mistakes a normal skin cell for a pathogen, and sends out faulty signals that cause overproduction of new skin cells. <a href="http://en.wikipedia.org/wiki/Psoriasis">More at &gt;&gt;</a><br /></span></span></p><p><span><span>Biocon, India's largest publicly-held biotechnology firm, launched its second novel 'lab-to-market' molecule,<strong> Alzumab</strong>, to treat chronic plaque <strong>psoriasis</strong> at a cost 50 per cent lower than the existing one. </span></span></p><p><span><span><span><span>Biocon is bringing Alzumab (a biologic) in the form of a vial after working on it for nearly a decade. The work had initially started in a joint effort with the Center of Molecular Immunology, Havana, but Biocon took control of the programme soon after and also bought out its partner a few years ago. Biocon tell to the media that genotypic played a critical role in functional studies and clinical trial Genomics. </span></span><br /><br />The Biocon drug, at around&nbsp;₹ 7,500 a vial, will cost half as much as the currently available drugs - from Pfizer and J&amp;J - to treat psoriasis, a skin disease that causes rough red areas where the skin comes off in small pieces. A patient is usually prescribed to consume more than 40 vials in a 24-week course.<br /><br /></span></span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/1970" length="90484" type="image/jpeg" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/3964/what-is-life-a-21st-century-perspective-by-dr-craig-venter</guid>
	<pubDate>Mon, 26 Aug 2013 17:09:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/3964/what-is-life-a-21st-century-perspective-by-dr-craig-venter</link>
	<title><![CDATA['What is Life? A 21st Century Perspective' by Dr Craig Venter]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/qi2MhsUSu0U" frameborder="0" allowfullscreen></iframe>One of the landmark events of 20th century science was celebrated and reinterpreted for the 21st century in Trinity College Dublin on 12 July 2012 as part of the Science in the City programme of ESOF2012. Dr Craig Venter, one of the leaders of the Human Genome Project in the 1990s and a pioneer of synthetic biology delivered a lecture entitled, 'What is Life? A 21st century perspective' recreating the Irish event that inspired the discovery of the structure of DNA. 

In February, 1943 one of the most distinguished scientists of the 20th Century, Erwin Schrödinger, delivered a seminal lecture, entitled 'What is Life?', under the auspices of the Dublin Institute for Advanced Studies, in Trinity College Dublin. The lecture presented far-sighted ideas on how hereditary information could be encoded in a chemical structure (aperiodic crystal) in living cells. Schrödinger's book (1944) of the same title is considered to be a scientific classic. The book was cited by Crick and Watson as one of the inspirations which ultimately led them to unravel the structure of DNA in 1953, a breakthrough which won them the Nobel prize.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/6052/university-of-california-irvine-center-for-complex-biological-systems</guid>
	<pubDate>Mon, 04 Nov 2013 17:10:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/6052/university-of-california-irvine-center-for-complex-biological-systems</link>
	<title><![CDATA[University of California, Irvine - Center for Complex Biological Systems]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/chPJ6OdVl4o" frameborder="0" allowfullscreen></iframe>The University of California Irvine's Center for Complex Biological Systems got its start just as there was a revolution in biology. Systems Biology requires that scientists work across many disciplines including engineering, physics and mathematics. The Center specializes in helping form the kinds of teams that will propel biological research into the future. It is also proud to be able to train students in the new interdisciplinary approach.

http://ccbs.uci.edu]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/18738/surrogate-variable-analysis-sva</guid>
	<pubDate>Thu, 30 Oct 2014 08:01:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/18738/surrogate-variable-analysis-sva</link>
	<title><![CDATA[Surrogate Variable Analysis (SVA)]]></title>
	<description><![CDATA[<p>The sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. Specifically, the sva package contains functions for the identifying and building surrogate variables for high-dimensional data sets. Surrogate variables are covariates constructed directly from high-dimensional data (like gene expression/RNA sequencing/methylation/brain imaging data) that can be used in subsequent analyses to adjust for unknown, unmodeled, or latent sources of noise. The sva package can be used to remove artifacts in three ways:</p><p>(1) identifying and estimating surrogate variables for unknown sources of variation in high-throughput experiments (Leek and Storey 2007 PLoS Genetics,2008 PNAS),</p><p>(2) directly removing known batch effects using ComBat (Johnson et al. 2007 Biostatistics) and</p><p>(3) removing batch effects with known control probes (Leek 2014 biorXiv).</p><p>Removing batch effects and using surrogate variables in differential expression analysis have been shown to reduce dependence, stabilize error rate estimates, and improve reproducibility, see (Leek and Storey 2007 PLoS Genetics, 2008 PNAS or Leek et al. 2011 Nat. Reviews Genetics).</p><p>More at http://www.bioconductor.org/packages/release/bioc/html/sva.html</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35078/suisse-life-science-group</guid>
	<pubDate>Sun, 07 Jan 2018 14:42:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35078/suisse-life-science-group</link>
	<title><![CDATA[Suisse Life Science Group]]></title>
	<description><![CDATA[<p><span>THE WORLD&rsquo;S MOST UNIQUE HEALTH &amp; WELLNESS SERVICE:&nbsp;</span></p>
<p><span> AI and science working together to manage the root causes of your aging&nbsp;</span></p>
<p><span> Personalized plan built from your biomarkers and devices </span></p>
<p><span>Biologically-active treatments (cellular health). No drugs.</span></p>
<p><span style="text-decoration: underline;">Source is Linkedln link</span> :</p>
<p>https://www.linkedin.com/company/5143768/</p><p>Address of the bookmark: <a href="https://suisselifescience.com/" rel="nofollow">https://suisselifescience.com/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</guid>
	<pubDate>Wed, 22 Aug 2018 22:10:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/37581/comparativegenomics-exercise2</link>
	<title><![CDATA[ComparativeGenomics Exercise2]]></title>
	<description><![CDATA[<p>COMPARATIVE MICROBIAL GENOMICS ANALYSIS WORKSHOP&nbsp; @&nbsp;cbs.dtu.dk</p><p>Free Bioinformatics workbench https://www.mn.uio.no/ifi/english/research/networks/clsi/earlier_seminars/2012/tammivesth_osloseminarfinal.pdf</p>]]></description>
	<dc:creator>Neel</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/37581" length="139956" type="application/pdf" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42137/plant-computational-genomics-lab-%E2%80%93-jill-wegrzyn</guid>
  <pubDate>Thu, 20 Aug 2020 19:49:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[PLANT COMPUTATIONAL GENOMICS LAB – JILL WEGRZYN]]></title>
  <description><![CDATA[
<p>Our research focuses on the computational analysis of genomic and transcriptomic sequences from non-model plant species. We do this by developing approaches to examine gene finding, gene expression, transcriptome assembly, and conserved element identification, through machine learning and computational statistics. We use these novel methods to address questions related to genome biology and population genomics.</p>

<p>We also develop web-based applications that integrate data across domains to facilitate the forest geneticist or ecologist’s ability to analyze, share, and visualize their data. Such integration requires the implementation of semantic technologies and ontologies to connect genotype, phenotype, and environmental data.</p>

<p>http://plantcompgenomics.com/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42712/scientist-c-non-medical-it-expert-computer-professionalgenomicsbioinformatic-at-nimr</guid>
  <pubDate>Mon, 01 Feb 2021 13:54:06 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist C - Non-Medical (IT Expert- Computer Professional/Genomics/Bioinformatic) at NIMR]]></title>
  <description><![CDATA[
<p>Applications are invited upto 12th February 2021 in the prescribed format (available on the websites of ICMR-NIMR) through link http://onlineapply.nimr.org.in/ up to 05:00 PM on 12th February 2021 for the following post on contract basis at NIMR, Sector-8, Dwarka, New Delhi.</p>

<p>Scientist C - Non-Medical (IT Expert- Computer Professional/Genomics/Bioinformatic)No. of posts: 01 (UR)</p>

<p>Salary (Fixed): Rs.51,000/- + HRA</p>

<p>Essential Qualification: Candidate should possess 1st class master degree in relevant subjects from a recognized university with 4 years experience<br />OR<br />2nd class M.Sc + Ph.D degree in relevant subjects from a recognized university with 4 years experience.Desirable Qualification: Candidates should possess a PhD degree in any field of science.<br />Preference will be given to those who have published scientific papers in international journals and who have a track record of working in infectious diseases.</p>

<p>The candidate must know the following for further consideration: (a) data processing and analysis using statistical softwares, (d) programming, (e) presentation of complex data from excel files and related skills.<br />Understanding of GIS and malaria will be an advantage. Experience and interest in functional genomics and genomic sequencing will be important.</p>

<p>Age Limit: 40 YearsDuration: 30.09.2021</p>

<p>More at http://onlineapply.nimr.org.in/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44395/genomics-india-conference-2024</guid>
  <pubDate>Fri, 27 Oct 2023 05:48:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[Genomics India Conference 2024 !]]></title>
  <description><![CDATA[
<p>Genomics India Conference is back and this time we are coming to Shiv<br />Nadar Intitution of Eminenece, Delhi NCR. GIC 2024 will be held from 1st<br />to 3rd of February 2024 and we are happy to send you an early invitation<br />for India's premier genomics conference.</p>

<p>GIC2024 focuses on "Advances In Genomics From AI-ML To Targeted<br />Therapies". GIC2024 encourages researchers to present original<br />contributions for poster presentations.</p>

<p>Note: Early bird registration closes on 1st December 2023.</p>

<p>Kindly, register at GIC 2024 Earlybird registartion</p>

<p>https://genomicsindia.co.in/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44679/rennison-lab</guid>
  <pubDate>Sat, 26 Oct 2024 15:10:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Rennison Lab !]]></title>
  <description><![CDATA[
<p>Welcome to the Rennison lab in the School of Biological Sciences at the University of California San Diego. We are a group interested in the evolution and maintenance of biodiversity. We study the processes related to biodiversity using methods from the fields of evolution, ecology, population genomics, and theory. </p>

<p>More at https://rennisonlab.com/</p>
]]></description>
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