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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26426?offset=480</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22040/karpagam-university-coimbatore-of-sr-prof-prof-associate-and-assistant-professors-karpagam-university-coimbatore-coimbatore-tamil-nadu</guid>
  <pubDate>Thu, 16 Apr 2015 00:30:45 -0500</pubDate>
  <link></link>
  <title><![CDATA[Karpagam University, Coimbatore, of Sr. Prof, Prof, Associate and Assistant Professors Karpagam University, Coimbatore - Coimbatore, Tamil Nadu]]></title>
  <description><![CDATA[
<p>Karpagam University, Coimbatore, Recruitment of Sr. Prof, Prof, Associate and Assistant Professors</p>

<p>Name of the College: Karpagam University, Coimbatore</p>

<p>Date of official publication: 15th April 2015</p>

<p>The newspaper wherein this job advertised: The Hindu Newspaper</p>

<p>Name of the posts: Senior Professors, Professors, Associate Professors and Assistant Professors</p>

<p>Departments:<br />Bioinformatics<br />Biotechnology<br />Qualifications/Eligibility: The candidates should have qualifications as M.E/M.Tech/M.A/M.Com/MBA/M.Sc/M.Phil/NET/SLET/Ph.D</p>

<p>Job Location: Coimbatore, TN</p>

<p>Salary: As per college norms</p>

<p>How to apply: Interested and eligible candidates are requested to apply online at http://www.karpagamuniversity.edu.in/career</p>

<p>Last date: As soon as possible from 15th April 2015</p>

<p>Reference: The Hindu Newspaper dated 15-04-2015, Coimbatore edition on 14th page</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43799/kast</guid>
	<pubDate>Wed, 23 Feb 2022 08:28:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43799/kast</link>
	<title><![CDATA[KAST]]></title>
	<description><![CDATA[<p><span>Perform Alignment-free k-tuple frequency comparisons from sequences. This can be in the form of two input files (e.g. a reference and a query) or a single file for pairwise comparisons to be made.</span></p><p>Address of the bookmark: <a href="https://github.com/martinjvickers/KAST" rel="nofollow">https://github.com/martinjvickers/KAST</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/22053/binc-sample-question-paper</guid>
	<pubDate>Thu, 16 Apr 2015 09:16:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/22053/binc-sample-question-paper</link>
	<title><![CDATA[BINC Sample Question Paper !!!]]></title>
	<description><![CDATA[<p>BINC sample question paper. Wish you all the best for BINC examination.</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/22053" length="4041" type="text/plain" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44537/the-atcc-genome-portal</guid>
	<pubDate>Wed, 15 May 2024 14:24:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44537/the-atcc-genome-portal</link>
	<title><![CDATA[The ATCC Genome Portal]]></title>
	<description><![CDATA[<p><span>The ATCC Genome Portal (AGP,&nbsp;</span><a href="https://genomes.atcc.org/">https://genomes.atcc.org/</a><span>) is a database of authenticated genomes for bacteria, fungi, protists, and viruses held in ATCC&rsquo;s biorepository. It now includes 3,938 assemblies (253% increase) produced under ISO 9000 by ATCC. Here, we present new features and content added to the AGP for the research community.</span></p><p>Address of the bookmark: <a href="https://genomes.atcc.org/" rel="nofollow">https://genomes.atcc.org/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44489/proksee</guid>
	<pubDate>Wed, 27 Mar 2024 11:11:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44489/proksee</link>
	<title><![CDATA[Proksee]]></title>
	<description><![CDATA[<p><span>Proksee is an expert system for genome assembly, annotation and visualization. To begin using Proksee, provide a complete genome sequence, sequencing reads or a CGView/Proksee map JSON file.</span></p>
<fieldset><legend>Please Cite the Following</legend>
<div>Grant JR, Enns E, Marinier E, Mandal A, Herman EK, Chen C, Graham M, Van Domselaar G, and Stothard P</div>
<div><a href="https://pubmed.ncbi.nlm.nih.gov/37140037/">Proksee: in-depth characterization and visualization of bacterial genomes</a></div>
<div>Nucleic Acids Research, 2023, gkad326, https://doi.org/10.1093/nar/gkad326</div>
</fieldset><p>Address of the bookmark: <a href="https://proksee.ca/" rel="nofollow">https://proksee.ca/</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22239/jrf-bioinformatics-at-national-institute-of-high-security-animal-diseases-icar</guid>
  <pubDate>Tue, 28 Apr 2015 02:21:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at National Institute of High Security Animal Diseases (ICAR)]]></title>
  <description><![CDATA[
<p>F.No. 4-59/2013-NIHSAD Dated: 21st April, 2015</p>

<p>SRF/ JRF job vacancies in National Institute of High Security Animal Diseases (ICAR)</p>

<p>Name of Post : JRF</p>

<p>No. of Post : 01</p>

<p>Qualification : M.V.Sc or M.Tech./M.Sc. (preferably with NET qualification) in one of following disciplines. (Biotechnology/Molecular Biology/Genetics/Microbiology/Bioinformatics or equivalent Life Sciences discipline). Desirable: Working Knowledge in the areas of Recombinant DNA Techniques, Cell Culture, Handling Laboratory Animals, Genomics.</p>

<p>Emolument : Rs.16,000/-</p>

<p>Age Limit : Up to 30 years</p>

<p>Name of Post : Project Assistant</p>

<p>No of Post : 01</p>

<p>Qualifications : First class M.Sc. /B.E/B.Tech. in one of the following disciplines Biotechnology/ Bioinformatics/ Microbiology or equivalent Life Sciences discipline). Desirable : Exposure of working in research environment, Good command over written/spoken English and computer applications.</p>

<p>Emolument : Rs.8000/-</p>

<p>Age Limit : Upto 28 years</p>

<p>Name of Post : Project Assistant</p>

<p>No of Post : 01</p>

<p>Qualification : First class M.Sc. /B.V.Sc. and A.H., B.Tech. /B.E. in Life Sciences and related areas. Desirable: Exposure of working in research environment, Good command over written/type written/spoken English and computer applications. </p>

<p>Emoluments : Rs. 8000/-</p>

<p>Age Limit : Up to 28 years<br />How to apply</p>

<p>Desirous candidates may send their applications by e-mail (techcell@hsadl.nic.in ) followed by post in the prescribed proforma latest by 11/05/2015. Walk-in-Interview will be held at NIHSAD, Kokta Road, Anand Nagar, Bhopal-462022.</p>

<p>http://www.nihsad.nic.in/pdf/Advt.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44628/uncovar-workflow-for-transparent-and-robust-virus-variant-calling-genome-reconstruction-and-lineage-assignment</guid>
	<pubDate>Mon, 05 Aug 2024 23:01:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44628/uncovar-workflow-for-transparent-and-robust-virus-variant-calling-genome-reconstruction-and-lineage-assignment</link>
	<title><![CDATA[UnCoVar: Workflow for Transparent and Robust Virus Variant Calling, Genome Reconstruction and Lineage Assignment]]></title>
	<description><![CDATA[<p>UnCoVar: Workflow for Transparent and Robust Virus Variant Calling, Genome Reconstruction and Lineage Assignment</p>
<ul>
<li>
<p>Using state of the art tools, easily extended for other viruses</p>
</li>
<li>
<p>Tool and database updates for critical components via Conda</p>
</li>
<li>
<p>Built using modern design patterns with Conda and Snakemake</p>
</li>
<li>
<p>Extensible and easy to customize</p>
</li>
<li>
<p>Submission Ready Genomes</p>
</li>
<li>
<p>Customizable reporting with comprehensive visualization</p>
</li>
</ul>
<p>https://ikim-essen.github.io/uncovar/</p>
<p>Github&nbsp;https://github.com/IKIM-Essen/uncovar</p>
<p>&nbsp;</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://ikim-essen.github.io/uncovar/" rel="nofollow">https://ikim-essen.github.io/uncovar/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22285/project-associate-bioinformatics-iit-mandi</guid>
  <pubDate>Wed, 06 May 2015 06:18:47 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Associate Bioinformatics @ IIT Mandi]]></title>
  <description><![CDATA[
<p>Eligibility : MSc(Bio-Informatics, Bio-Tech), BSc, BE/B.Tech(Bio-Medical /Bio-Technology Engg, CSE)</p>

<p>Location : Kulu</p>

<p>Job Category : Govt Jobs, Research</p>

<p>Last Date : 20 May 2015</p>

<p>Job Type : Full Time</p>

<p>Hiring Process : Walk - In<br />IIT Mandi - Job Details<br />IIT Mandi</p>

<p>Project Associate Bioinformatics Job vacancies in IIT Mandi on purely temporary</p>

<p>Project: “Exploring the Human Microbiome: A hunt for the candidates for Pre- and Pro-biotics.”</p>

<p>Minimum Qualification and Experience: M.Sc. in Bioinformatics OR B.Tech / BE in Bioinformatics OR M. Sc. in Biotechnology / Life sciences or related areas with Diploma or relevant experience in Bioinformatics OR B.Tech in Biotechnology / Computer Science or MCA or B. Sc. in Life Sciences or related areas with PG diploma in Bioinformatics. Candidates with experience in NGS data handling and analysis will be preferred. Tenure: Initially for one year, extendable based upon performance.</p>

<p>No of Posts: 01</p>

<p>Salary: Rs. 12000- 18000/- per month.</p>

<p>How to apply</p>

<p>Interested candidates can come for a Walk-in-Interview on 20th May 2015 starting at 8:30 AM at the Academic Block, Indian Institute of Technology (IIT), Mandi, Vallabh College Campus, Near Bus Stand, Mandi, HP. The candidates should bring along their curriculum vitae (CV) and copies of educational and experience certificates. In case of any queries please contact: Dr. Tulika Prakash Srivastava (Principal Investigator), Indian Institute of Technology Mandi, Near Bus Stand Mandi - 175 001, Himachal Pradesh.</p>

<p>More at</p>

<p>http://www.iitmandi.ac.in/administration/advrt/Walk-in-interview_Ad.pdf</p>
]]></description>
</item>
<item>
	<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>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22317/project-associate-bioinformatics-central-food-technological-research-institute-cftri</guid>
  <pubDate>Tue, 19 May 2015 07:01:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Associate Bioinformatics @ Central Food Technological Research Institute (CFTRI)]]></title>
  <description><![CDATA[
<p>Central Food Technological Research Institute (CFTRI)</p>

<p>Project Assistant (Level-II) job position in Central Food Technological Research Institute (CFTRI) on a temporary contractual basis in the research project (GAP 0469) funded by Science &amp; Engineering Research Board (SERB), Government of India, New Delhi tenable at the Lipidomics Centre, CSIR-CFTRI, Mysore, Karnataka</p>

<p>Name of the Position : </p>

<p>Qualification : First class M. Sc. in Biochemistry/Microbiology/Genetics/ Bioinformatics with good academic record and preferably with experience in molecular biology techniques and basic knowledge of molecular biology and biological chemistry</p>

<p>Emoluments : Rs. 12,000/- per month (Consolidated)</p>

<p>Age Limit : The upper age limit for applying shall be 28 years (as on 22-5-2015), which is relaxed for candidates belonging to Scheduled Castes/Schedule Tribes, Women, Persons with Disabilities (PWD) and OBCs as per GoI norms. <br /> <br />How to apply</p>

<p>Eligible candidates may send their complete Bio-data with e-mail address/contact phone number along with attested copies of the necessary certificates through post to Prof. Ram Rajasekharan, Lipidomics Centre, Department of Lipid Science, CSIR-CFTRI, Mysore-570 020, Karnataka (email: ram@cftri.res.in) on or before 22.05.2015</p>

<p>More at http://www.cftri.com/pa_gap0469.html</p>
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