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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27427?offset=830</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39200/omtools-a-software-package-for-visualizing-and-processing-optical-mapping-data</guid>
	<pubDate>Fri, 29 Mar 2019 01:21:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39200/omtools-a-software-package-for-visualizing-and-processing-optical-mapping-data</link>
	<title><![CDATA[OMTools: a software package for visualizing and processing optical mapping data]]></title>
	<description><![CDATA[<p><span>OMTools, an efficient and intuitive data processing and visualization suite to handle and explore large-scale optical mapping profiles. OMTools includes modules for visualization (OMView), data processing and simulation. These modules together form an accessible and convenient pipeline for optical mapping analyses.</span></p>
<p><span><a href="https://github.com/TF-Chan-Lab/OMTools">https://github.com/TF-Chan-Lab/OMTools</a></span></p><p>Address of the bookmark: <a href="https://github.com/TF-Chan-Lab/OMTools" rel="nofollow">https://github.com/TF-Chan-Lab/OMTools</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25307/srfjrf-bioinformatics-at-iari</guid>
  <pubDate>Sun, 29 Nov 2015 03:00:44 -0600</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF Bioinformatics at IARI]]></title>
  <description><![CDATA[
<p>Agricultural Knowledge Management Unit</p>

<p>ICAR-INDIAN AGRICULTURAL RESEARCH INSTITUTE</p>

<p>L.B.S Building, Pusa Campus,</p>

<p>New Delhi-110012</p>

<p>Walk-in-Interview: 18th December 2015</p>

<p>DBT funded project: Distributed Information Centre under BTISnet (PI: Dr. A.K.Mishra)</p>

<p>Senior Research Fellow Two</p>

<p>    Rs 28000/- + HRA</p>

<p>    i) Master’s degree in Bioinformatics or Computer Science+ NET qualification and two years research experience, or</p>

<p>    ii) M. Tech degree in Bioinformatics or Computer Science /Engineering with two years research experience Efficiency to handle agricultural databases and bioinformatics tool development</p>

<p>#Junior Research Fellow</p>

<p>    Rs. 25000/- + HRA</p>

<p>    i) Master’s degree in Bioinformatics or Computer Science + NET qualification, or</p>

<p>    ii) M. Tech degree in Bioinformatics or Computer Science/Engineering Efficiency to handle agricultural databases and bioinformatics tool development</p>

<p>Traineeship Two</p>

<p>    Rs. 8000/- consolidated</p>

<p>    M.Sc./M. Tech (Bioinformatics) with 60 % marks from a recognized University</p>

<p>Studentship Four</p>

<p>    Rs. 8000/- consolidated</p>

<p>    Final year M.Sc./ M.Tech (Bioinformatics) Students from a recognized University</p>

<p>* M. Tech with Four Years Bachelor’s degree followed by Master’s degree</p>

<p># In case suitable person is not found for SRF position, it may be filled at the JRF level The interview will be held on 18 th December 2015 at 10:00 AM at AKMU, LBS Building, IARI, Pusa Campus, New Delhi-110012. Terms and Conditions:  Maximum age limit is 35 years for all positions. Age relaxation of 5 yrs for SC/ST/OBC and woman candidates will be given.  The above post is purely temporary and is co-terminus with the project. The candidate shall not claim for regular appointment.  No TA/DA will be paid for attending the interview.  Bring self attested copies and originals of all certificates ( class 10th )onwards along with biodata in the attached format, proof of date of birth, one passport size photo, NOC from present employer, if any  Canvassing in any form will disqualify the candidate. </p>

<p>Reporting time for interview: 9.30-10.00 AM at AKMU, IARI, New Delhi -110 012</p>

<p>Advertisement:</p>

<p>www.iari.res.in/files/SRF_JRF_Akkmu-27112015-20151127-124003.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24962/ra-bioinformatics-at-nipgr</guid>
  <pubDate>Tue, 20 Oct 2015 04:11:56 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at NIPGR]]></title>
  <description><![CDATA[
<p>Applications are invited from suitable candidates for filling up the purely temporary positions of one Research Associate (RA) and one Junior Research Fellow (JRF) in the DBT Part-B Sub-project-1&amp;2 entitled Transcriptome and epigenome diversity analysis during seed development for discovery of molecular markers and gene regulatory mechanism in chickpea of Seed Biology</p>

<p>Research Associate (one post): Emoluments as per DST/DBT norms &amp; as sanctioned in the project<br />Qualification: Candidates having Ph.D. degree (awarded) in Life Sciences/Molecular Biology/Bioinformatics or related field are eligible to apply.</p>

<p>Junior Research Fellow (one post): Emoluments as per DST/DBT norms &amp; as sanctioned in the project<br />Qualification: Candidates having M.Sc. degree or equivalent (with minimum 55% marks) in Life Sciences, Biotechnolgy, Bioinformatics, Molecular Biology or any other related field are eligible to apply</p>

<p>Additional Information</p>

<p>Address:<br />Staff Scientist<br />National Institute of Plant Genome Research (NIPGR)<br />Aruna Asaf Ali Marg, P.O. Box NO. 10531,<br />New Delhi - 110067</p>

<p>States &amp; U.T<br />State &amp; Union Territories Delhi</p>

<p>How To Apply</p>

<p>Apply Details<br />Eligible candidates may apply by sending their complete application in the given format. The attested copies of the certificates and proof of research experience (if any) are to be attached with the hard copy of application. The applications should reach at the address given below within 15 days from the date of advertisement.</p>

<p>Web/Notification URL<br />http://www.nipgr.res.in/careers/vacancie s_latest.php</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42017/gromacs-a-versatile-package-to-perform-molecular-dynamics</guid>
	<pubDate>Thu, 06 Aug 2020 22:40:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42017/gromacs-a-versatile-package-to-perform-molecular-dynamics</link>
	<title><![CDATA[GROMACS: a versatile package to perform molecular dynamics]]></title>
	<description><![CDATA[<p><span>GROMACS is a versatile package to perform molecular dynamics, i.e simulate the Newtonian equations of motion for systems with hundreds to millions of particles. GROMACS is able to work with many biochemical molecules like proteins, lipids and nucleic acids. The WeNMR GROMACS web portal combines the versatility of this molecular dynamics package with the calculation power of the eNMR grid. This will enable you to perform many simulations from the comfort of your internet browser anywhere in the world. The server is furthermore aimed to provide a user friendly and efficient MD experience by performing many preparation and optimization steps automatically.</span></p>
<p>GROMACS conda&nbsp;<a href="https://bioconda.github.io/recipes/gromacs/README.html">https://bioconda.github.io/recipes/gromacs/README.html</a>&nbsp;</p><p>Address of the bookmark: <a href="http://haddock.science.uu.nl/enmr/services/GROMACS/main.php" rel="nofollow">http://haddock.science.uu.nl/enmr/services/GROMACS/main.php</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25094/project-assistant-bioinformatics</guid>
  <pubDate>Mon, 02 Nov 2015 03:23:09 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant BioInformatics]]></title>
  <description><![CDATA[
<p>Project Assistant BioInformatics</p>

<p>Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg), MSc(Bio-Informatics), BE/B.Tech</p>

<p>Location : Pune</p>

<p>Last Date : 16 Nov 2015</p>

<p>Hiring Process : Face to Face Interview</p>

<p>No. Bio/NCIM/3 </p>

<p>Project Assistant II Jobs opportunity in National Chemical Laboratory (NCL) on temporary basis</p>

<p>Project Code No. : GAP312626</p>

<p>Title of the Project : Microbial ecology and distribution of geochemical cycling genes in an hot spring ecosystem</p>

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

<p>Qualifications : M.Sc./B.Tech/M.Tech in Computational biology/ Bioinformatics from recognized university with minimum 60 % marks (aggregate) </p>

<p>Desirable : Good knowledge of computational skills, Linux (command line and GUI) and Unix; Perl / Python / R /C-programming. Practical knowledge of analysis of Next generation sequence datasets (amplicon sequencing, whole metagenome, and complete genome sequencing) with reference to microbes. Analysis and statistical validation of NGS data generated from different chemistry platforms. Some wet-lab experience in microbial system would be an added advantage as project involves some travel.</p>

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

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

<p>The application with the above information duly signed together with photo-copies of relevant certificates/testimonials should be addressed to : The Head, NCIM Resource Centre (Attn Dr. M.S. DHARNE), National Chemical Laboratory, Pune 411 008, so as to reach on or before 16th November 2015.</p>

<p>More at http://www.ncl-india.org/files/JoinUs/JobVacancies/TemporaryJobs.aspx?menuid=ql6&amp;childmenustripid=divSubQL6</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43290/the-snakemake-wrappers-repository</guid>
	<pubDate>Thu, 19 Aug 2021 04:39:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43290/the-snakemake-wrappers-repository</link>
	<title><![CDATA[The Snakemake Wrappers repository]]></title>
	<description><![CDATA[<p><span>The Snakemake Wrapper Repository is a collection of reusable wrappers that allow to quickly use popular tools from&nbsp;</span><a href="https://snakemake.readthedocs.io/">Snakemake</a><span>&nbsp;rules and workflows.</span></p>
<p>More at&nbsp;https://github.com/snakemake/snakemake-wrappers</p><p>Address of the bookmark: <a href="https://snakemake-wrappers.readthedocs.io/en/stable/" rel="nofollow">https://snakemake-wrappers.readthedocs.io/en/stable/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25147/pre-or-postdoctoral-research-fellowship-in-structural-bioinformatics-at-padova</guid>
  <pubDate>Thu, 05 Nov 2015 22:15:12 -0600</pubDate>
  <link></link>
  <title><![CDATA[Pre- or postdoctoral research fellowship in Structural Bioinformatics at Padova]]></title>
  <description><![CDATA[
<p>A research fellowship for a software developer is available at the BioComputing UP Laboratory, University of Padova (URL: http://protein.bio.unipd.it/).<br />A highly motivated and creative candidate is sought to work on structural bioinformatics. Specifically, the project entails the development of novel methods, tools and databases for the analysis of protein structures.</p>

<p>The BioComputing UP Laboratory, headed by Prof. Silvio Tosatto, is a dynamic group of a dozen people working on several aspects of prediction of protein structure &amp; function employing techniques at the intersection between biology, medicine, chemistry, physics &amp; computer science.<br />Our aim is to integrate the development of novel methods and their application to biologically relevant problems.</p>

<p>We are looking for candidates with a solid Bioinformatics background, programming experience (Python, C++ and/or Java) and good knowledge of molecular biology (protein structure/function). Good knowledge of statistics as well as experience in using database systems (MongoDB, MySQL and/or Postgres) is desirable. Candidates should have a degree with top marks, optionally hold a PhD, and be highly motivated to work on interdisciplinary research. Good knowledge of English, an open-minded spirit, being collaborative and creative are crucial.</p>

<p>The fellowship, which should start as soon as possible, is renewable and initially for one year. It will be commensurate to experience, can be extended depending on performance and may lead to a PhD degree. The successful candidate will be working full-time at the BioComputing UP Laboratory, University of Padova. Travel support for conferences and/or research visits abroad is provided.<br />To apply, please send your CV, with a motivation letter and brief description of your research background as well as the names of two (or more) references to: biocomp@bio.unipd.it. </p>

<p>Start date: As soon as possible</p>

<p>Duration: 1 year, renewable</p>

<p>Salary on grant: Commesurate to experience</p>

<p>Contact Person (Referent): Silvio Tosatto</p>

<p>Ref. E-Mail: biocomp@bio.unipd.it</p>

<p>Tel: +39 049 827 6269<br />Fax: +39 049 827 6260</p>

<p>Group Web Page: http://protein.bio.unipd.it/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41571/wego-simple-but-useful-tool-for-visualizing-comparing-and-plotting-go-gene-ontology-annotation-results</guid>
	<pubDate>Sun, 12 Apr 2020 10:02:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41571/wego-simple-but-useful-tool-for-visualizing-comparing-and-plotting-go-gene-ontology-annotation-results</link>
	<title><![CDATA[WEGO : simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results]]></title>
	<description><![CDATA[<p><span>WEGO (Web Gene Ontology Annotation Plot) is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. As the GO vocabulary became more and more popular, WEGO was widely adopted and used in many researches. Therefore we have updated WEGO 2.0 in 2018. Here are some changes we&rsquo;ve made:</span><br><span>1. The limit of input file numbers was cancelled. Now the users could upload as many files as they want with one operation.</span><br><span>2. We have added the reference data of 9 species for users selection.</span><br><span>3. Besides the traditional WEGO histogram, WEGO 2.0 outputs an additional type of bar graph showing GO terms with significant gene number differences.</span></p><p>Address of the bookmark: <a href="http://wego.genomics.org.cn/" rel="nofollow">http://wego.genomics.org.cn/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26587/last</guid>
	<pubDate>Wed, 09 Mar 2016 14:27:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26587/last</link>
	<title><![CDATA[LAST]]></title>
	<description><![CDATA[<p style="text-align: center;"><img src="http://last.cbrc.jp/lastwebfig.png" alt="sketch of  similar regions in sequences" style="border: 0px;"></p>
<p>LAST can:</p>
<ul>
<li>Handle <strong>big</strong> sequence data, e.g:
<ul>
<li>Compare two vertebrate genomes</li>
<li>Align billions of DNA reads to a genome</li>
</ul>
</li>
<li>Indicate the <a href="http://lastweb.cbrc.jp/about.html">reliability</a> of each aligned column.</li>
<li>Use sequence quality data <a href="http://nar.oxfordjournals.org/content/38/7/e100.abstract">properly</a>.</li>
<li>Compare DNA to proteins, with frameshifts.</li>
<li>Compare PSSMs to sequences</li>
<li>Calculate the likelihood of chance similarities between random sequences.</li>
<li>Do split and spliced alignment.</li>
<li><a href="http://last.cbrc.jp/doc/last-train.html">Train</a> alignment parameters for unusual kinds of sequence (e.g. nanopore).</li>
</ul><p>Address of the bookmark: <a href="http://last.cbrc.jp/" rel="nofollow">http://last.cbrc.jp/</a></p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40991/jtools-more-efficient-presentation-of-regression-analyses</guid>
	<pubDate>Tue, 11 Feb 2020 23:10:49 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40991/jtools-more-efficient-presentation-of-regression-analyses</link>
	<title><![CDATA[jtools : more efficient presentation of regression analyses]]></title>
	<description><![CDATA[<p>This package consists of a series of functions created by the author (Jacob) to automate otherwise tedious research tasks. At this juncture, the unifying theme is the more efficient presentation of regression analyses. There are a number of functions for other programming and statistical purposes as well. Support for the&nbsp;<code>survey</code>&nbsp;package&rsquo;s&nbsp;<code>svyglm</code>&nbsp;objects as well as weighted regressions is a common theme throughout.</p>
<p><strong>Notice:</strong>&nbsp;As of&nbsp;<code>jtools</code>&nbsp;version 2.0.0, all functions dealing with interactions (e.g.,&nbsp;<code>interact_plot()</code>,&nbsp;<code>sim_slopes()</code>,&nbsp;<code>johnson_neyman()</code>) have been moved to a new package, aptly named&nbsp;<a href="https://interactions.jacob-long.com/"><code>interactions</code></a>.</p><p>Address of the bookmark: <a href="https://cran.r-project.org/web/packages/jtools/readme/README.html" rel="nofollow">https://cran.r-project.org/web/packages/jtools/readme/README.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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