<?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/34369?</link>
	<atom:link href="https://bioinformaticsonline.com/related/34369?" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33014/synteny-portal-a-web-based-application-portal-for-synteny-block-analysis</guid>
	<pubDate>Wed, 24 May 2017 10:39:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33014/synteny-portal-a-web-based-application-portal-for-synteny-block-analysis</link>
	<title><![CDATA[Synteny Portal: a web-based application portal for synteny block analysis]]></title>
	<description><![CDATA[<p><span>Synteny Portal, a versatile web-based application portal for constructing, visualizing and browsing synteny blocks. With Synteny Portal, users can easily (i) construct synteny blocks among multiple species by using prebuilt alignments in the UCSC genome browser database, (ii) visualize and download syntenic relationships as high-quality images, (iii) browse synteny blocks with genetic information and (iv) download the details of synteny blocks to be used as input for downstream synteny-based analyses, all in an intuitive and easy-to-use web-based interface. We believe that Synteny Portal will serve as a highly valuable tool that will enable biologists to easily perform comparative genomics studies by compensating limitations of existing tools. Synteny Portal is freely available at&nbsp;</span><a href="http://bioinfo.konkuk.ac.kr/synteny_portal" target="pmc_ext">http://bioinfo.konkuk.ac.kr/synteny_portal</a><span>.</span></p>
<p>http://bioinfo.konkuk.ac.kr/synteny_portal/</p><p>Address of the bookmark: <a href="http://bioinfo.konkuk.ac.kr/synteny_portal/" rel="nofollow">http://bioinfo.konkuk.ac.kr/synteny_portal/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33887/gview-a-java-application-for-viewing-and-examining-prokaryotic-genomes-in-a-circular-or-linear-context</guid>
	<pubDate>Fri, 14 Jul 2017 07:47:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33887/gview-a-java-application-for-viewing-and-examining-prokaryotic-genomes-in-a-circular-or-linear-context</link>
	<title><![CDATA[GView: A Java application for viewing and examining prokaryotic genomes in a circular or linear context]]></title>
	<description><![CDATA[<p>GView is a Java application for viewing and examining prokaryotic genomes in a circular or linear context. It accepts standard sequence file formats and an optional style specification file to generate customizable, publication quality genome maps in bitmap and scalable vector graphics formats. GView features an interactive pan-and-zoom interface, a command-line interface for incorporation in genome analysis pipelines, and a public Application Programming Interface for incorporation in other Java applications.</p>
<p><strong>Availability:</strong>&nbsp;GView is a freely available application licensed under the GNU Public License. The application, source code, documentation, file specifications, tutorials and image galleries are available at&nbsp;<a href="http://gview.ca/" target="pmc_ext">http://gview.ca</a></p>
<p><strong>Contact:</strong>&nbsp;<a href="mailto:dev@null">ac.cg.cpsa-cahp@raalesmod.nav.yrag</a></p>
<p>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995121/</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995121/" rel="nofollow">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995121/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40221/dash-a-web-application-framework-that-provides-pure-python-abstraction-around-html-css-and-javascript</guid>
	<pubDate>Tue, 05 Nov 2019 06:39:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40221/dash-a-web-application-framework-that-provides-pure-python-abstraction-around-html-css-and-javascript</link>
	<title><![CDATA[Dash: a web application framework that provides pure Python abstraction around HTML, CSS, and JavaScript.]]></title>
	<description><![CDATA[<p style="margin-top: 0px; margin-bottom: 0.75rem;">Dash is a web application framework that provides pure Python abstraction around HTML, CSS, and JavaScript.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">Dash Bio is a suite of bioinformatics components that make it simpler to analyze and visualize bioinformatics data and interact with them in a Dash application.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">The source can be found on GitHub at<span>&nbsp;</span><a href="https://github.com/plotly/dash-bio">plotly/dash-bio</a>.</p>
<p style="margin-top: 0px; margin-bottom: 0.75rem;">These docs are using Dash Bio version 0.1.4.</p><p>Address of the bookmark: <a href="https://dash.plot.ly/dash-bio" rel="nofollow">https://dash.plot.ly/dash-bio</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/872/jayaram-lab</guid>
  <pubDate>Sun, 14 Jul 2013 14:04:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[Jayaram Lab]]></title>
  <description><![CDATA[
<p>Responsible (a) for developing Chemgenome, Bhageerath &amp; Sanjeevini methods &amp; softwares for genome annotation, protein tertiary structure prediction &amp; computer aided drug design respectively, (b) for setting up a multi-teraflop supercomputing facility for Bioinformatics &amp; Computational Biology at IIT Delhi, and (c) for making the hardware and software freely accessible at (www.scfbio-iitd.res.in) to the global scientific user community.</p>

<p>Faculty facilitator/Founder Director for two start-up companies (Leadinvent incubated at IIT, Delhi from 2006-2009 &amp; Novoinformatics, under incubation at IIT Delhi since 2011).</p>

<p>Research Interest <br />Genome Analysis, Protein Structure Prediction and Drug Design.</p>

<p>Link @ http://www.scfbio-iitd.res.in/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/17188/jamia-hamdard-bioinformatics-faculty-jobs-2014</guid>
  <pubDate>Sat, 20 Sep 2014 21:00:05 -0500</pubDate>
  <link></link>
  <title><![CDATA[JAMIA HAMDARD Bioinformatics Faculty Jobs 2014]]></title>
  <description><![CDATA[
<p>JAMIA HAMDARD</p>

<p>(Deemed University)</p>

<p>Hamdard Nagar, New Delhi – 110 062</p>

<p>R E C R U I T M E N T</p>

<p>(Advertisement No. 5/2014)</p>

<p>Applications on prescribed form are invited for filling up the following teaching positions in the Department of Biotechnology, Faculty of Science in the university. Eligible candidates may apply on or before 30.09.2014.</p>

<p>1. Professor/Associate Professor - One in Pay Band of Rs. 37400-67000+ AGP Rs.10000/9000</p>

<p>2. Assistant Professor                   -  Two in Pay Band of Rs. 15600-39100+ AGP Rs. 6000/-</p>

<p>ASSISTANT PROFESSOR – 02 (including 01 SFS)</p>

<p>Specialization : Bioinformatics</p>

<p>Qualification and Experience :</p>

<p>Ph.D. in Biotechnology or an allied discipline with M.Sc. in Biotechnology/ Biochemistry in the First division or equivalent grade from a recognized University/ Institute.</p>

<p>NET in Life Science or allied discipline in addition to the above qualification.</p>

<p>Experience : At  least two years of Post-doctoral teaching and/or research experience in Bioinformatics or relevant field in a UGC recognized Institution of repute or international research institute/ University.  Proof of research to be evidenced by publications in SCI-indexed journals of high impact factor as the first or corresponding author.</p>

<p>Note : University may consider exempting candidates from NET, who has been awarded Ph.D. degree from ‘A’ Grade accredited University following the procedure as notified by the UGC in its Regulations of 2009 and adopted by Jamia Hamdard.</p>

<p>For more information: http://www.jamiahamdard.ac.in/PDF/Online%20application%20form%20_Teaching_1.pdf<br />http://www.jamiahamdard.ac.in/PDF/PBAS.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44365/program-officer-bioinformatics-at-jhpiego</guid>
  <pubDate>Tue, 29 Aug 2023 00:05:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[Program Officer, Bioinformatics at Jhpiego]]></title>
  <description><![CDATA[
<p>Jhpiego is a non-profit global health leader and Johns Hopkins University affiliate that is saving lives, improving health, and transforming futures. We partner with governments, health experts, and local communities to build the skills and systems that guarantee a healthier future for women and families. Jhpiego translates the best science and practices into moments of care that can mean the difference between life and death for women and families. The moment a woman gives birth; the moment a midwife helps a newborn to breathe. Through our partnerships, we are revolutionizing health care for the world’s most disadvantaged and vulnerable people. In India, Jhpiego works across various states in close collaboration with national and state governments, providing technical assistance in the areas of family planning, maternal and child health, strengthening human resources for health, and non-communicable diseases. These programs are funded by USAID, the Bill &amp; Melinda Gates Foundation, the David &amp; Lucile Packard Foundation, the Children’s Investment Fund Foundation (CIFF), , and other anonymous donors.</p>

<p>The Program Officer, Bioinformatics, operating under the Senior Advisor for Metagenomics &amp; Lab Systems, will play a pivotal role in leveraging bioinformatics to advance the objectives of the Health Security and AMR program. This position offers a unique opportunity to contribute to cutting-edge genomics research and its application in public health.</p>

<p>More detail at https://jobs-jhpiego.icims.com/jobs/5440/program-officer-%e2%80%93-bio-informatics/job</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28802/research-associate-bioinformatics-recruitment-in-icgeb-new-delhi</guid>
  <pubDate>Tue, 16 Aug 2016 03:38:05 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics recruitment in ICGEB, New Delhi]]></title>
  <description><![CDATA[
<p>Research Associate Bioinformatics recruitment in ICGEB, New Delhi </p>

<p>Project :“Genetic Transformation and Development of Elite Transgenic Maize (Zea mays L.) for Biotic and Abiotic Stresses Tolerance”.</p>

<p>Qualification: Ph.D. degree in:Biotechnology/Bioinformatics/Biochemistry/Plant Molecular Biology/Plant Physiology/Botany or any related area with evidence of prior experience in maize transformation.</p>

<p>Additional experience in plant transformation of any cereal crop would be preferable.</p>

<p>The appointment would initially be for one year.</p>

<p>How to apply<br />Interested applicants should send their detailed CV including brief synopsis regarding the previous research experience (along withcontact email address by email) to: Dr. Tanushri Kaul (tanushri@icgeb.res.in). Group Leader, Nutritional Improvement of Crops Group, International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi-110 067.</p>

<p>Closing date for applications: 22 August 2016.</p>

<p>More at http://www.icgeb.org/vacancies.html</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/31251/bioinformatics-opening-at-icgeb-new-delhi</guid>
  <pubDate>Thu, 02 Mar 2017 04:16:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics opening at ICGEB NEW DELHI]]></title>
  <description><![CDATA[
<p>ICGEB NEW DELHI</p>

<p>Applications are invited for:</p>

<p>Junior Research Fellow, in a DBT funded project, is available in Translational Health Group, ICGEB, New Delhi</p>

<p>Qualifications:</p>

<p>Education: M.Sc. (preferably in Biotechnology, Life Sciences or Zoology, Chemistry, Bioinformatics). Candidates with hands on experience on GC-MS data acquisition and analysis will be given preference. Bioinformatics expertise required.</p>

<p>Fellowship: As per DBT guidelines.</p>

<p>Tenure: The position is purely on temporary basis with an initial tenure of six months and based on satisfactory performance may continue until the completion of the project.</p>

<p>Closing date for applications: 04/03/2017</p>

<p>Please send a "TWO PAGE" CV by email to:  th.icgeb@gmail.com on or before the last date.</p>

<p>Research Associate, in a DBT funded project, is available in Translational Health Group, ICGEB, New Delhi</p>

<p>Qualifications:</p>

<p>Education: Ph.D. (in Biology, Biotechnology, Chemistry, Bioinformatics). Candidates with hands on experience on GC-MS data acquisition and analysis will be given preference. </p>

<p>Fellowship: As per DBT guidelines.</p>

<p>Tenure: The position is purely on temporary basis with an initial tenure of six months and  based on satisfactory performance may continue until the completion of the project.</p>

<p>Closing date for applications: 04/03/2017</p>

<p>Please send a "TWO PAGE" CV by email to: th.icgeb@gmail.com on or before the last date.</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42418/scientist-b-bioinformatics-at-aiims-delhi</guid>
  <pubDate>Sun, 20 Dec 2020 04:34:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist-B (Bioinformatics) at AIIMS, Delhi]]></title>
  <description><![CDATA[
<p>Name of the Project: “Artificial intelligence in Oncology, Harnessing big data and advanced computing to provide personalized diagnosis and treatment for Cancer patients”</p>

<p>Age Limit: 35</p>

<p>How to Apply for the AIIMS Life Science Job:</p>

<p>Interested applicants are asked to send out a detailed CV to Dr Ashok Sharma (aioncoaiims@gmail.com). Laboratory of Chromatin and also Cancer Epigenetics, Department of Biochemistry with the subject line “Application for Scientist-B position for MeitY project” latest by January 01st, 2021.<br />Complete Information of the year of passing, experience, marks, etc. ought to be mentioned in the CV Incomplete. applications will certainly be rejected Just shortlisted applicants will be called for interview. Chosen candidates will certainly be intimated by email/phone.<br />No TA/DA will certainly be paid for appearing in the interview.<br />Note, The institute reserved the right to fill up or not to fill up the post advertised.</p>

<p>Emoluments: Rs. 56,000/- plus 24 percent HRA</p>

<p>Eligibility:<br />2nd class Master’s Degree with a PhD in a pertinent subject (Bioinformatics) from.a recognized University<br />1st class Master’s degree in Life Sciences (Bioinformatics) from a recognized university OR.<br />Bachelor’s Degree in Engineering or-Technology with minimal 60% marks from a recognized University or equivalent.</p>

<p>Desirable Qualifications:<br />Experience in Bioinformatics/NGS data. Analysis/System Biology/Computer Science/ statistics with experience in Machine learning/Al project.<br />Experience of Deep learning applications in biological data ( image/text).<br />Proficient in Rf Python machine learning libraries.<br />Prior experience in the cancer-related project (ML-based) will be advantageous.<br />Experience with PyTorch/TensorFlow will certainly be very desirable.<br />Applicant should have strong scientific writing as well as. verbal abilities.<br />Papers in sci-indexed journals demonstrating ML skill sets.<br />Database handling will certainly be plus yet not required.</p>

<p>More detail at https://www.aiims.edu/images/pdf/recruitment/advertisement/biochem-16-12-20.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42201/rosettaantibodydesign-rabd-a-general-framework-for-computational-antibody-design</guid>
	<pubDate>Sun, 20 Sep 2020 06:03:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42201/rosettaantibodydesign-rabd-a-general-framework-for-computational-antibody-design</link>
	<title><![CDATA[RosettaAntibodyDesign (RAbD): A general framework for computational antibody design]]></title>
	<description><![CDATA[<p><strong>RosettaAntibodyDesign (RAbD)</strong>&nbsp;is a generalized framework for the design of antibodies, in which a user can easily tailor the run to their project needs.&nbsp;<strong>The algorithm is meant to sample the diverse sequence, structure, and binding space of an antibody-antigen complex.</strong>&nbsp;It can be used for a multitude of project types, from denovo design to redesigns that improve binding affinity, optimize stability, or manipulate function.</p>
<p>The framework is based on rigorous bioinformatic analysis and rooted very much on our&nbsp;<a href="https://www.ncbi.nlm.nih.gov/pubmed/21035459">recent clustering</a>&nbsp;of antibody CDR regions. It uses the&nbsp;<strong>North/Dunbrack CDR definition</strong>&nbsp;as outlined in the North/Dunbrack clustering paper.</p>
<p>More at</p>
<p>https://www.rosettacommons.org/docs/latest/application_documentation/antibody/RosettaAntibodyDesign</p>
<p>https://bio-jade.readthedocs.io/en/latest/installation.html</p><p>Address of the bookmark: <a href="https://www.rosettacommons.org/docs/latest/application_documentation/antibody/RosettaAntibodyDesign" rel="nofollow">https://www.rosettacommons.org/docs/latest/application_documentation/antibody/RosettaAntibodyDesign</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

</channel>
</rss>