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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4959?offset=370</link>
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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/opportunity/view/17189/bioinformatics-svims-project-assistant-walk-in</guid>
  <pubDate>Sat, 20 Sep 2014 21:02:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics SVIMS Project Assistant Walk IN]]></title>
  <description><![CDATA[
<p>SRI VENKATESWARA INSTITUTE OF MEDICAL SCIENCES<br />TIRUPATI, ANDHRA PRADESH, INDIA- 517 507<br />BIOINFORMATICS CENTRE, DEPARTMENT OF BIOINFORMATICS</p>

<p>Eligible candidates are invited for a walk-in-interview for recruitment of Project Assistant in SVIMS Bioinformatics centre under the BTISnet Project entitled “Creation of Bioinformatics Infrastructure Facility for promotion of Biology teaching through Bioinformatics” on 25.09.2014 at 11 AM in SVIMS, Tirupati. The engagement will be made purely on temporary basis for a period of one year and it can be terminated at any time without notice or without assigning any reason thereof by the Coordinator of the Project. The person engaged shall not be entitled for any claim implicit or explicit for absorption in the University.</p>

<p>1. Name of the post : Project Assistant</p>

<p>2. Qualification :<br />i) Essential : MSc Bioinformatics/MTech (Biotechnology/Bioinformatics)</p>

<p>ii) Desirable : Experience in Bioinformatics research work (Preference will be given to candidates  qualified in BINC/UGC/CSIR/NET/GATE)</p>

<p>3. Remuneration : 16000 + 10% HRA for NET/GATE candidates 14000 + 10% HRA for M. Tech / M.Sc. Candidates</p>

<p>4. Place of posting : Tirupati</p>

<p>5. Duration of the Project : One year</p>

<p>Terms and conditions:</p>

<p>1. Candidates are required to submit the Biodata relevant certificates in support of their age and educational qualification etc., before the interview committee, SVIMS University, Tirupati.</p>

<p>2. Candidates called for interview will attend the interview at their own cost.<br />3. Interim enquiries will not be entertained.<br />4. The maximum age limit for Project Assistant is 28 years for general category and 33 years for SC and ST category candidates as on 25th September, 2014.</p>

<p>Advertisement:</p>

<p>http://svr98.ehostpros.com/~svimsb98/Project%20Assistant_notification.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5963/make-genomic-research-less-ethnically-biased</guid>
	<pubDate>Wed, 30 Oct 2013 16:08:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5963/make-genomic-research-less-ethnically-biased</link>
	<title><![CDATA[Make Genomic Research Less Ethnically-Biased]]></title>
	<description><![CDATA[<p>Mexican billionaire Carlos Slim H&eacute;lu, the world&rsquo;s 2nd-richest man, is giving an additional $74 million to a genomics center in Boston in order to right a bias in the field&ndash;a kind of scientific racism, you might call it. The problem: most samples of DNA analyzed in biomedical research come from people of European descent.</p><p>Find more detail news at http://www.forbes.com/sites/erincarlyle/2013/10/30/carlos-slim-gives-another-74-million-to-make-genomic-research-less-ethnically-biased/?utm_campaign=forbesfbsf&amp;utm_source=facebook&amp;utm_medium=social</p>]]></description>
	<dc:creator>Shikha Logwani</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42985/janggu-deep-learning-for-genomics</guid>
	<pubDate>Tue, 23 Mar 2021 05:14:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42985/janggu-deep-learning-for-genomics</link>
	<title><![CDATA[Janggu - Deep learning for Genomics]]></title>
	<description><![CDATA[<p><span>Janggu is a python package that facilitates deep learning in the context of genomics. The package is freely available under a GPL-3.0 license.</span></p>
<p><span>Detail tutorial at&nbsp;https://janggu.readthedocs.io/en/latest/</span></p>
<p><span>USE cases</span></p>
<p><span>https://github.com/wkopp/janggu_usecases</span></p><p>Address of the bookmark: <a href="https://github.com/BIMSBbioinfo/janggu" rel="nofollow">https://github.com/BIMSBbioinfo/janggu</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34624/teacheng-teaching-engine-for-genomics</guid>
	<pubDate>Wed, 13 Dec 2017 17:55:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34624/teacheng-teaching-engine-for-genomics</link>
	<title><![CDATA[TeachEnG: Teaching Engine for Genomics]]></title>
	<description><![CDATA[<p>TeachEnG (pronounced &ldquo;teaching&rdquo;), a <span style="text-decoration: underline;">Teach</span>ing <span style="text-decoration: underline;">En</span>gine for <span style="text-decoration: underline;">G</span>enomics, provides educational games to help students and researchers understand key bioinformatics concepts. The current version includes interactive modules for sequence alignment and phylogenetic tree reconstruction algorithms, with accompanying video tutorials. <br><br> Please contact us via email (knoweng@illinois.edu) if you have any questions or suggestions.&nbsp;</p><p>Address of the bookmark: <a href="http://teacheng.illinois.edu/" rel="nofollow">http://teacheng.illinois.edu/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37257/asar-advanced-metagenomic-sequence-analysis-in-r</guid>
	<pubDate>Mon, 09 Jul 2018 05:20:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37257/asar-advanced-metagenomic-sequence-analysis-in-r</link>
	<title><![CDATA[ASAR: Advanced metagenomic Sequence Analysis in R]]></title>
	<description><![CDATA[<p><span>An interactive data analysis tool for selection, aggregation and visualization of metagenomic data is presented. Functional analysis with a SEED hierarchy and pathway diagram based on KEGG orthology based upon MG-RAST annotation results is available.</span></p>
<p><span><span>To read the manual, please click the link&nbsp;</span><a href="https://askarbek-orakov.github.io/ASAR/">https://askarbek-orakov.github.io/ASAR/</a></span></p><p>Address of the bookmark: <a href="https://github.com/Askarbek-orakov/ASAR" rel="nofollow">https://github.com/Askarbek-orakov/ASAR</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40955/the-global-alliance-for-genomics-and-health-ga4gh</guid>
	<pubDate>Sat, 08 Feb 2020 07:37:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40955/the-global-alliance-for-genomics-and-health-ga4gh</link>
	<title><![CDATA[The Global Alliance for Genomics and Health (GA4GH)]]></title>
	<description><![CDATA[<p>The Global Alliance for Genomics and Health (GA4GH) is a policy-framing and technical standards-setting organization, seeking to enable responsible genomic data sharing within a <a href="https://www.ga4gh.org/genomic-data-toolkit/regulatory-ethics-toolkit/framework-for-responsible-sharing-of-genomic-and-health-related-data/">human rights framework</a>.</p>
<p>GA4GH core funders and sponsors enable our work and allow us to convene the international genomic data sharing community.</p>
<p>https://www.ga4gh.org/</p><p>Address of the bookmark: <a href="https://www.ga4gh.org/" rel="nofollow">https://www.ga4gh.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/18381/how-far-can-bioinformatics-go-creating-organisms-used-for-testing</guid>
	<pubDate>Fri, 17 Oct 2014 02:08:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/18381/how-far-can-bioinformatics-go-creating-organisms-used-for-testing</link>
	<title><![CDATA[How far can bioinformatics go creating organisms used for testing?]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/FojhDef2NW4" frameborder="0" allowfullscreen></iframe>"I think you can get very far on a technical level. The problem is that a human body is more complex than just one cell." ... "At some point we still need clinical tests on animals and humans before we use it for real treatment. But we will likely be able to remove 99 % of animal tests in the future."

Erik Lindahl, Professor of Theoretical and Computational Biophysics at KTH Royal Institute of Technology is telling us about his work.

From the episode "Science for life – mapping the building blocks of the human body". Watch the rest of the talk, and other talks at www.crosstalks.tv

Crosstalks is an academic talkshow produced by KTH Royal Institute of Technology and Stockholm University.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/42470/the-new-corona-variant-has-23-mutations-in-all-which-is-unusually-huge</guid>
	<pubDate>Wed, 23 Dec 2020 03:50:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/42470/the-new-corona-variant-has-23-mutations-in-all-which-is-unusually-huge</link>
	<title><![CDATA[The new corona variant has 23 mutations in all, which is unusually huge !]]></title>
	<description><![CDATA[<p>The new SARS-CoV-2 version, B.1.1.7, which was first seen in the third week of September in Kent and Greater London, has since spread to other locations in the UK. According to the COVID-19 Genomics UK Consortium (COG-UK Consortium) that analysed the genome data of the virus and identified the variant, the new variant has been spreading "rapidly" over the last four weeks and has now been detected in other locations in the UK, suggesting further spread of the variant in the region.</p><p><span>According to a<span>&nbsp;</span></span><a href="https://virological.org/t/preliminary-genomic-characterisation-of-an-emergent-sars-cov-2-lineage-in-the-uk-defined-by-a-novel-set-of-spike-mutations/563"><strong><span>preliminary report</span></strong></a><span><span>&nbsp;</span>posted on December 19 by the COG-UK Consortium scientists, as of December 15, 1,623 variant genomes have been sequenced. In a<span>&nbsp;</span></span><a href="https://twitter.com/TheCGPS/status/1340749351803629569"><strong><span>December 21 tweet</span></strong></a><span>, COG-UK Consortium said that it added 2,963 more genome sequences of SARS-CoV-2, of which 942 (32%) belong to the new variant. The Consortium<span>&nbsp;</span></span><a href="https://twitter.com/CovidGenomicsUK/status/1341073233420955654"><strong><span>intends to sequence</span></strong></a><span><span>&nbsp;</span>20,000 more SARS-CoV-2 genomes in the next two weeks to further ascertain the spread of the variant.</span></p><p><span>There is no clear proof, at least not yet, that it does cause severe pandemic. But there is a justification for seriously taking the possibility. Another coronavirus lineage in South Africa has acquired one specific mutation that is also present in B.1.1.7. This variant is increasingly spreading across South Africa's coastal regions. And doctors have observed in preliminary research that individuals infected with this variant bear a higher viral load-a higher concentration of the virus in their upper respiratory tract. In many viral diseases, this is associated with more severe symptoms.</span></p><p>&nbsp;</p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18576/graduate-research-assistantships-university-of-nebraska-lincoln-unl</guid>
  <pubDate>Wed, 22 Oct 2014 10:05:31 -0500</pubDate>
  <link></link>
  <title><![CDATA[Graduate research assistantships @ University of Nebraska-Lincoln (UNL)]]></title>
  <description><![CDATA[
<p>Graduate research assistantships in quantitative genetics are available with Gota Morota in the Department of Animal Science at the University of Nebraska-Lincoln (UNL).</p>

<p>Current projects in the Morota lab include developing kernel-based whole-genome prediction and kernel-based genome-wide association models, polygenic modeling of binary traits, reexamining the results from quantitative genetics analysis in light of functional annotation, and extending kernel methods (such as GBLUP and RKHS) specifically tailored for diverse types of emerging omics data.</p>

<p>In addition, candidates will be expected to leverage opportunities to interact with faculty in animal genetics and biometrics at the UNL in the areas of bioinformatics, breeding, functional genomics, quantitative genetics, and molecular genetics.</p>

<p>Candidates should have a B.S. or M.S. degree in quantitative disciplines with strong background and interest in statistical computing. <br />The starting date is Fall 2015. <br />For more information about research in the Morota lab at the UNL, visit: http://www.morotalab.org</p>

<p>A letter of interest in the position, C.V., and contact information for <br />three references should be emailed to Gota Morota at . <br />Review of applications will begin immediately, and continue until the <br />positions are filled. Informal inquiries are also welcome.</p>

<p>Also, please see: http://animalscience.unl.edu/anscprospectivegraduatestudents</p>
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