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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32849?offset=870</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22026/igib-recruitment-2015-%E2%80%93-project-scientist</guid>
  <pubDate>Tue, 14 Apr 2015 12:19:59 -0500</pubDate>
  <link></link>
  <title><![CDATA[IGIB Recruitment 2015 – Project Scientist]]></title>
  <description><![CDATA[
<p>IGIB Recruitment 2015 – Project Scientist &amp; SPF Posts: CSIR – Institute of Genomics &amp; Integrative Biology (IGIB) has issued notification for the recruitment of Project Scientist, Sr Project Fellow vacancies on temporary basis for project entitled “Setting up of CSIR(unit)-TRISUTRA (Translational research and Innovative Science through Ayurgenomics)”. Eligible candidates may apply in prescribed application format on or before 23-04-2015. Other details like age limit, educational qualification, selection process &amp; how to apply are given below…</p>

<p>IGIB Vacancy Details:<br />Total No. of Posts: 04<br />Name of the Posts:<br />1. Project Scientist (Biology): 02 Posts<br />2. Project Scientist (Bioinformatics): 01 Post<br />3. Sr Project Fellow (Ayurveda): 01 Post</p>

<p>Age Limit: Candidates age should be 35 years for post 1, 32 years for post 2</p>

<p>Educational Qualification: Candidates should have Ph.D/ Ph.D submitted in any branch of Biological Science/ Life Science for post 1, Ph.D/ Ph.D submitted in Bioinformatics for post 2, BAMS degree with one year internship for post 3.</p>

<p>Selection Process: Candidates will be selected based on their performance in interview.</p>

<p>How to Apply: Eligible candidates may send their application along with all relevant documents on or before 23-04-2015.</p>

<p>Important Dates:<br />Last Date for Receipt of Application for Post 1 &amp; 2: 23-04-2015.<br />Date of Interview for Post 3: 27-04-2015.</p>

<p>For other details like pay scale, age relaxation, educational qualification, selection process, how to apply, etc., click on the link given below…</p>

<p>http://www.freejobalert.com/wp-content/uploads/2015/03/Notification-IGIB-Project-Scientist-SPF-Posts.pdf</p>

<p>http://www.igib.res.in/sites/default/files/27042015.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/22047/binc-sample-question-paper</guid>
	<pubDate>Thu, 16 Apr 2015 09:14:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/22047/binc-sample-question-paper</link>
	<title><![CDATA[BINC Sample Question Paper !!!]]></title>
	<description><![CDATA[<p>BINC sample question paper round TWO.</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/22047" length="1621" type="text/plain" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44770/nvidia-and-arc-institute-unveil-evo-2-a-breakthrough-ai-for-dna-design</guid>
	<pubDate>Fri, 21 Feb 2025 10:39:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44770/nvidia-and-arc-institute-unveil-evo-2-a-breakthrough-ai-for-dna-design</link>
	<title><![CDATA[NVIDIA and Arc Institute Unveil Evo 2: A Breakthrough AI for DNA Design]]></title>
	<description><![CDATA[<p>NVIDIA and the Arc Institute have introduced <strong style="font-size: 12.8px;">Evo 2</strong>, a groundbreaking AI model designed to <strong style="font-size: 12.8px;">understand, predict, and generate DNA sequences</strong>. This marks a major advancement in computational biology, offering scientists an unprecedented tool to decode the genetic blueprint of life and even design entirely new biological systems.</p><h3><strong>The Power of Evo 2: AI Meets DNA</strong></h3><p>Evo 2 is <strong>the largest AI model for biology ever created</strong>, trained on an astonishing <strong>9.3 trillion DNA "letters"</strong> (nucleotides) carefully selected from genomes spanning the entire tree of life. This massive dataset ensures that Evo 2 can recognize patterns and relationships in genetic sequences at an unparalleled scale.</p><p>For the first time, scientists can <strong>design DNA with AI</strong>, moving beyond simple sequence analysis to active DNA generation. Evo 2 enables researchers to <strong>predict, modify, and even create entire genetic sequences</strong>, opening new possibilities in medicine, agriculture, and synthetic biology.</p><h3><strong>Decoding the Dark Genome</strong></h3><p>One of the biggest challenges in genetics is understanding the <strong>non-coding regions</strong> of DNA&mdash;vast stretches of the genome that do not code for proteins but play crucial roles in regulating gene expression. These regions control when and how genes are activated, influencing everything from development to disease.</p><p>Evo 2 is designed to <strong>decode these non-coding elements</strong>, helping researchers uncover their functions and use this knowledge to develop gene-based therapies, synthetic life forms, and precision agriculture solutions.</p><h3><strong>From Reading DNA to Writing It</strong></h3><p>To put Evo 2&rsquo;s impact into perspective:</p><ul>
<li><strong>Previous AI models could "read" DNA</strong> like a book, analyzing genetic sequences and identifying patterns.</li>
<li><strong>Evo 2 can "write" entirely new DNA</strong>, designing functional genes, chromosomes, and even full genomes from scratch.</li>
</ul><p>This means scientists can now <strong>engineer biological systems with AI</strong>, designing new proteins, metabolic pathways, and genetic circuits to address real-world challenges.</p><h3><strong>A Step Toward Generative Biology</strong></h3><p>The Arc Institute describes Evo 2 as a major step toward <strong>"generative biology"</strong>&mdash;a revolutionary approach where AI is used to create <strong>novel biological structures</strong> rather than just analyzing existing ones. This could lead to breakthroughs such as:</p><ul>
<li><strong>New medicines</strong>: AI-generated enzymes and proteins tailored for targeted therapies.</li>
<li><strong>Disease-resistant crops</strong>: Genetically optimized plants for higher yield and climate resilience.</li>
<li><strong>Synthetic organisms</strong>: Custom-designed microbes for bioremediation, biofuel production, and industrial applications.</li>
</ul><h3><strong>An Open-Source Revolution</strong></h3><p>Unlike many proprietary AI models, <strong>Evo 2 is open source</strong>, making its capabilities accessible to researchers worldwide. This democratization of AI-driven biology means that scientists from different disciplines can <strong>collaborate, experiment, and innovate</strong>, accelerating discoveries in genetic engineering and synthetic biology.</p><p>With Evo 2, the boundaries of what&rsquo;s possible in <strong>DNA design, genetic engineering, and biological innovation</strong> are being redrawn. The future of life sciences is no longer just about understanding life&rsquo;s code&mdash;it&rsquo;s about writing it.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22130/senior-research-fellow-srf-bioinformatics-at-central-institute-for-research-on-buffaloes</guid>
  <pubDate>Sat, 18 Apr 2015 04:30:47 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow (SRF) Bioinformatics at Central Institute for Research on Buffaloes]]></title>
  <description><![CDATA[
<p>Senior Research Fellow (SRF) Bioinformatics at Central Institute for Research on Buffaloes<br />Address: Central Institute for Research on Buffaloes, Sirsa Road, Hisar<br />State: Haryana<br />Pay Scale: Post Graduate in subjects other than Veterinary Science Rs. 16000/- per month for 1st and 2nd year and Rs. 18000/- per month for 3rd year. Post Graduate in Veterinary Science Rs. 18000/- per month for 1st and 2nd Year and Rs. 20000/- per month for 3rd year.<br />Educational Requirements: Master’s degree in biotechnology/animal biotechnology, veterinary/animal biochemistry, veterinary microbiology or veterinary/animal physiology/Nano Technology/Bioinformatics or related area.<br />Qualifications: Ph.D in relevant field/experience of working in any research project<br />Details will be available at: http://www.cirb.res.in/attachments/195_Walk-in-Interview%20for%20Senior%20Research%20Fellow%20%28SRF%29%20%28On%20Dated%2020.4.2015%29.pdf<br />How To Apply: Interested candidates who fulfill the above conditions should report for interview with a copy of their bio-data, photocopy and original certificates and testimonials, other related material i.e. reports, documents, articles, etc., if any.<br />Date &amp; Time of Interview: 20.04.2015 at 11.00 hrs<br />Venue: CIRB, Hisar</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43804/agora-algorithm-for-gene-order-reconstruction-in-ancestors</guid>
	<pubDate>Mon, 28 Feb 2022 23:26:21 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43804/agora-algorithm-for-gene-order-reconstruction-in-ancestors</link>
	<title><![CDATA[AGORA: Algorithm for Gene Order Reconstruction in Ancestors]]></title>
	<description><![CDATA[<p dir="auto">AGORA stands for &ldquo;Algorithm for Gene Order Reconstruction in Ancestors&rdquo; and was developed by Matthieu Muffato in the DYOGEN Laboratory at the &Eacute;cole normale sup&eacute;rieure in Paris in 2008.</p>
<div>
<pre><code>    // | |     //   ) )  //   ) ) //   ) )  // | |
   //__| |    //        //   / / //___/ /  //__| |
  / ___  |   //  ____  //   / / / ___ (   / ___  |
 //    | |  //    / / //   / / //   | |  //    | |
//     | | ((____/ / ((___/ / //    | | //     | |
</code></pre>
</div>
<p dir="auto">AGORA is used to generate ancestral genomes for the&nbsp;<a href="https://www.genomicus.biologie.ens.fr/genomicus">Genomicus</a>&nbsp;online server for gene order comparison, and has been in constant use in the group since.</p><p>Address of the bookmark: <a href="https://github.com/DyogenIBENS/Agora" rel="nofollow">https://github.com/DyogenIBENS/Agora</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22236/savitribai-phule-pune-university-recruitment-for-04-jrf-post-in-april-2015</guid>
  <pubDate>Mon, 27 Apr 2015 20:28:59 -0500</pubDate>
  <link></link>
  <title><![CDATA[Savitribai Phule Pune University Recruitment for 04 JRF Post in April 2015]]></title>
  <description><![CDATA[
<p>Savitribai Phule Pune University announced application for recruitment to the post of Junior Research Fellow. The candidates for the post can apply through prescribed format before 10 May 2015.<br />Description:</p>

<p>Important Date &amp; Details</p>

<p>Closing Date for Registration: 10 May 2015</p>

<p>Details of Post</p>

<p>Name of Post: Junior Research Fellow- 04 Posts</p>

<p>Pay Scale: Rs. 12,000 or 16,00+ HRA Post Graduate degree with NET (16,000+HRA) Post Graduate Degree (12,000+HRA)</p>

<p>Eligibility Criteria: M.Sc. in Microbiology/Marine Microbiology/ Marine Biotechnology/Biotechnology/Bioinformatics/Zoology or equivalent degree with minimum 60% marks or equivalent grade</p>

<p>Age Limit- Not more than 28 years</p>

<p>Organisation Name: Savitribai Phule Pune University<br />Eligibility for the post:</p>

<p>Selection Procedure: The selection procedure is through personal interview. No TA/DA will be paid for appearing in the interview.</p>

<p>How to Apply: The candidates may send their application along with CV to the Head Department of Zoology, Savitribai Phule University on or before 10 May 2015.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36846/gblocks-eliminates-poorly-aligned-positions-and-divergent-regions-of-a-dna-or-protein-alignment</guid>
	<pubDate>Sat, 02 Jun 2018 07:36:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36846/gblocks-eliminates-poorly-aligned-positions-and-divergent-regions-of-a-dna-or-protein-alignment</link>
	<title><![CDATA[Gblocks: eliminates poorly aligned positions and divergent regions of a DNA or protein alignment]]></title>
	<description><![CDATA[<p><a href="http://molevol.cmima.csic.es/castresana/Gblocks.html">Gblocks</a><span>&nbsp;eliminates poorly aligned positions and divergent regions of a DNA or protein alignment so that it becomes more suitable for phylogenetic analysis. This server implements the most important features of the Gblocks program to make its use as simple as possible without loosing the functionality that it is necessary in most of the cases. Other options can be changed in the stand-alone program. You can see here an&nbsp;</span><a href="http://molevol.cmima.csic.es/castresana/Gblocks_server/nad3.pir-gb.htm">example output file</a><span>&nbsp;showing the blocks selected from a protein alignment. Further information can be found in the&nbsp;</span><a href="http://molevol.cmima.csic.es/castresana/Gblocks/Gblocks_documentation.html">online documentation</a><span>.&nbsp;</span></p><p>Address of the bookmark: <a href="http://molevol.cmima.csic.es/castresana/Gblocks_server.html" rel="nofollow">http://molevol.cmima.csic.es/castresana/Gblocks_server.html</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44630/genofig-a-user-friendly-application-for-the-visualization-and-comparison-of-genomic-regions</guid>
	<pubDate>Mon, 05 Aug 2024 23:06:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44630/genofig-a-user-friendly-application-for-the-visualization-and-comparison-of-genomic-regions</link>
	<title><![CDATA[GenoFig: a user-friendly application for the visualization and comparison of genomic regions]]></title>
	<description><![CDATA[<p>Tool for graphical vizualisation of annotated genetic regions, and homologous regions comparison. It is an independent recoding of Easyfig 2 initially developped by at the S. Beatson Lab [<a href="https://mjsull.github.io/Easyfig/" target="_blank">https://mjsull.github.io/Easyfig/</a>]</p>
<p dir="auto">Download the GenoFig source code using the 'Download' button on top of this page. Cloning is currently not available for people not member of the INRAE French Institution. After decompression, open a terminal in the folder containing the decompressed files and run:</p>
<div>
<pre id="code-47"><code><span>conda env create -f extras/requirements.yml</span>
<span>extras/SETUP.sh</span></code></pre>
</div><p>Address of the bookmark: <a href="https://forgemia.inra.fr/public-pgba/genofig" rel="nofollow">https://forgemia.inra.fr/public-pgba/genofig</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22297/appointment-of-two-traineeships-and-two-studentships-in-bioinformatics</guid>
  <pubDate>Fri, 08 May 2015 00:24:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Appointment of two traineeships and two studentships in Bioinformatics]]></title>
  <description><![CDATA[
<p>Applications are invited for the appointment of two traineeships and two studentships in Bioinformatics for a period of six months sponsored by Department of Biotechnology, Government of India in the Bioinformatics Sub-DIC, Saraswathy Thangavelu Centre, JNTBGRI, Puthenthope, Thiruvananthapuram 695 586. The required qualifications and other details are given below.</p>

<p>Position 1: Traineeship<br />Monthly fellowship (in rupee): 5,000/-<br />No. of vacancies: Two<br />Required Qualification: First Class M.Sc Bioinformatics/ Biotechnology/ Botany</p>

<p>Position 2: Studentship<br />Monthly fellowship (in rupee): 5,000/-<br />No. of vacancies: Two<br />Required Qualification: M.Phil/M.Tech Bioinformatics/ Biotechnology/ any branch of Life Science students for doing their thesis work in the area of Bioinformatics.</p>

<p>Age limit as on 1.1.2015, 28 years. Age relaxation will be provided for SC, ST, OBC candidates as per Govt. norms.</p>

<p>Interested candidates may appear for walk-in-interview on 15th May 2015 at 10.30 am at JNTBGRI, Palode, Thiruvananthapuram. The candidate should report to the Office at Palode before 10.00 am.</p>

<p>More at http://jntbgri.res.in/news/appointment-of-two-traineeships-and-two-studentships-in-bioinformatics/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22393/narcis-fernandez-fuentes-lab</guid>
  <pubDate>Mon, 25 May 2015 07:30:00 -0500</pubDate>
  <link></link>
  <title><![CDATA[Narcis Fernandez-Fuentes Lab]]></title>
  <description><![CDATA[
<p>Welcome to our web-site compiling all the research-related activities of the group. Our research interests relate to a number of areas within Bioinformatics. We have a long-standing interest in protein structure prediction and structure-to-function relationships. We work in the study of biomolecular interactions, modeling of protein complexes, the study and characterization of protein-protein interactions, peptide design, modeling of genetic variation, structure-based protein design and different aspects of Plant Bioinformatics. Take a look at the our databases and servers and the list of publications for more information.</p>

<p>More at http://www.bioinsilico.org/</p>
]]></description>
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