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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30234?offset=1620</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24178/essentials-of-statistics-and-data-analysis-using-r</guid>
  <pubDate>Mon, 31 Aug 2015 01:32:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Essentials of Statistics and Data Analysis using R]]></title>
  <description><![CDATA[
<p>Clinical Development Services Agency (CDSA) is an extramural unit of Translational Health Science and Technology Institute (THSTI), Department of Biotechnology, Ministry of Science &amp; Technology, Government of India. CDSA has a national mandate of strengthening capacity and capability building in the area of Clinical development and Translational Research.</p>

<p>CDSA is pleased to announce a 4 days hands-on training program on “Essentials of Statistics and Data Analysis using R” at ICGEB, Aruna Asaf Ali Road, New Delhi on December 1 – 4, 2015. This will involve developing and enhancing skills to understand basic principles of statistics for summarizing data and use of appropriate statistical tests as well as providing an understanding of data analysis using R. Didactic lectures with practical sessions will be delivered by experienced faculties from AIIMS and Novartis. Live classroom with power point presentations, case studies, mock exercise, practical sessions on R, group work with time for discussion and Q&amp;A sessions are added advantages of this workshop.</p>

<p>Please contact gayatrivishwakarma.cdsa@thsti.res.in or vineetabaloni.cdsa@thsti.res.in for program and registration details.</p>

<p>Please nominate personage or register yourself on or before November 6, 2015 along with the electronic transfer of registration fee.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38199/pacasus-correction-of-palindromes-in-long-reads-from-pacbio-and-nanopore</guid>
	<pubDate>Mon, 12 Nov 2018 05:26:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38199/pacasus-correction-of-palindromes-in-long-reads-from-pacbio-and-nanopore</link>
	<title><![CDATA[Pacasus: Correction of palindromes in long reads from PacBio and Nanopore]]></title>
	<description><![CDATA[<p><br>Tool for detecting and cleaning PacBio / Nanopore long reads after whole genome amplification. Check the poster from the Revolutionizing Next-Generation Sequencing (2nd edition) conference in the source folder:&nbsp;<a href="https://github.com/swarris/Pacasus/blob/master/vib2017.pdf">https://github.com/swarris/Pacasus/blob/master/vib2017.pdf</a>.</p>
<p>The prepint version is found on&nbsp;<a href="http://www.biorxiv.org/content/early/2017/08/09/173872">http://www.biorxiv.org/content/early/2017/08/09/173872</a></p>
<p>It uses the pyPaSWAS framework for sequence alignment (<a href="https://github.com/swarris/pyPaSWAS">https://github.com/swarris/pyPaSWAS</a>)</p><p>Address of the bookmark: <a href="https://github.com/swarris/Pacasus" rel="nofollow">https://github.com/swarris/Pacasus</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40544/ngs-bits-short-read-sequencing-tools</guid>
	<pubDate>Thu, 16 Jan 2020 23:14:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40544/ngs-bits-short-read-sequencing-tools</link>
	<title><![CDATA[ngs-bits - Short-read sequencing tools]]></title>
	<description><![CDATA[<p>Binaries of&nbsp;<em>ngs-bits</em>&nbsp;are available via Bioconda. Alternatively,&nbsp;<em>ngs-bits</em>&nbsp;can be built from sources:</p>
<ul>
<li><span>Binaries</span>&nbsp;for&nbsp;<a href="https://github.com/imgag/ngs-bits/blob/master/doc/install_bioconda.md">Linux/macOS</a></li>
<li>From&nbsp;<span>sources</span>&nbsp;for&nbsp;<a href="https://github.com/imgag/ngs-bits/blob/master/doc/install_unix.md">Linux/macOS</a></li>
<li>From&nbsp;<span>sources</span>&nbsp;for&nbsp;<a href="https://github.com/imgag/ngs-bits/blob/master/doc/install_win.md">Windows</a></li>
</ul><p>Address of the bookmark: <a href="https://github.com/imgag/ngs-bits" rel="nofollow">https://github.com/imgag/ngs-bits</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31278/metapred2cs</guid>
	<pubDate>Fri, 03 Mar 2017 05:15:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31278/metapred2cs</link>
	<title><![CDATA[MetaPred2CS]]></title>
	<description><![CDATA[<p style="text-align: justify;"><strong>MetaPred2CS Web server&nbsp;</strong>is a meta-predictor based on&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/17160063">Support Vector Machine (SVM)</a>&nbsp;that combines 6 individual sequence based protein-protein interaction prediction methods to predict&nbsp;<strong>prokaryotic two-component system&nbsp;</strong>protein-protein interactions (PPIs). The methods implemented in MetaPred2CS are 2 co-evolutionary methods:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/11933068">in-silico two hybrid (i2h)</a>&nbsp;and&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/11707606">mirror tree (MT)</a>&nbsp;methods and 4 genomics context based methods:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/15947018">phylogenetic profiling (PP)</a>,&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/10573422">gene fusion (GF)</a>,&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0030043">gene neighbourhood (GN)</a>&nbsp;and and&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0030043">gene operon methods (GO)</a>.</p>
<p>&nbsp;http://metapred2cs.ibers.aber.ac.uk/</p><p>Address of the bookmark: <a href="https://github.com/martinjvickers/MetaPred2CS" rel="nofollow">https://github.com/martinjvickers/MetaPred2CS</a></p>]]></description>
	<dc:creator>Manisha Mishra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34579/moss-a-system-for-detecting-software-similarity</guid>
	<pubDate>Sat, 09 Dec 2017 08:59:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34579/moss-a-system-for-detecting-software-similarity</link>
	<title><![CDATA[MOSS: A System for Detecting Software Similarity]]></title>
	<description><![CDATA[<p><span>Moss (for a Measure Of Software Similarity) is an automatic system for determining the similarity of programs. To date, the main application of Moss has been in detecting plagiarism in programming classes. Since its development in 1994, Moss has been very effective in this role. The algorithm behind moss is a significant improvement over other cheating detection algorithms (at least, over those known to us).</span></p>
<p><span><span>Moss can currently analyze code written in the following languages:</span></span></p>
<p>C, C++, Java, C#, Python, Visual Basic, Javascript, FORTRAN, ML, Haskell, Lisp, Scheme, Pascal, Modula2, Ada, Perl, TCL, Matlab, VHDL, Verilog, Spice, MIPS assembly, a8086 assembly, a8086 assembly, MIPS assembly, HCL2.</p><p>Address of the bookmark: <a href="https://theory.stanford.edu/~aiken/moss/" rel="nofollow">https://theory.stanford.edu/~aiken/moss/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24666/bioinformatics-faculty-at-bharathidasan-university</guid>
  <pubDate>Sat, 26 Sep 2015 20:34:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Faculty at BHARATHIDASAN UNIVERSITY]]></title>
  <description><![CDATA[
<p>BHARATHIDASAN UNIVERSITY</p>

<p>(Reaccredited by NAAC with ‘A’ grade)</p>

<p>TIRUCHIRAPPALLI - 620 024</p>

<p>I N V I T E S</p>

<p>APPLICATIONS FOR FACULTY POSITIONS UNDER UGC XII PLAN CREATED POSTS ON CONTRACTUAL BASIS TILL 31.03.2017 IN THE FOLLOWING UNIVERSITY DEPARTMENTS. (Notification No. 31300 /H2/2015, Dt.: 18.09.2015)</p>

<p>ASSISTANT PROFESSOR</p>

<p>1. Bio-Informatics ONE (MBC)</p>

<p>2. Bio-Chemistry ONE G.T.(W)DW</p>

<p>Consolidated Pay of Rs.45,000/- p.m.</p>

<p>Qualification : As per UGC/AICTE/NCTE norms</p>

<p>Application along with other details including specialization can be downloaded from the University website www.bdu.ac.in</p>

<p>LAST DATE FOR RECEIPT OF FILLED IN APPLICATION IS 07.10.2015 BY 5.00 P.M.</p>

<p>More Info : www.bdu.ac.in/adv/UGC_XII_Plan_Contract_Positions.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39872/miropeats-discovers-regions-of-sequence-similarity-amongst-any-set-of-dna-sequences</guid>
	<pubDate>Mon, 26 Aug 2019 17:55:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39872/miropeats-discovers-regions-of-sequence-similarity-amongst-any-set-of-dna-sequences</link>
	<title><![CDATA[Miropeats: discovers regions of sequence similarity amongst any set of DNA sequences]]></title>
	<description><![CDATA[<p><span>Miropeats discovers regions of sequence similarity amongst any set of DNA sequences and then presents this similarity information graphically. Sequence similarity searching is a very general tool that forms the basis of many different biological sequence analyses but it is limited by the verbosity of traditional alignment presentation styles. Miropeats enhances the utility of conventional DNA sequence comparisons when looking at long lengths of sequence similarity by summarizing extensive large scale sequence similarities on a single page of graphics. The latest version of Miropeats can be used as a general pairwise alignment program or in its traditional role sorting out a big mess of overlapping or similar regions.</span></p><p>Address of the bookmark: <a href="http://www.littlest.co.uk/software/bioinf/old_packages/miropeats/" rel="nofollow">http://www.littlest.co.uk/software/bioinf/old_packages/miropeats/</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27253/ra-bioinformatics-at-jnu-delhi</guid>
  <pubDate>Tue, 10 May 2016 01:50:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[R.A Bioinformatics at JNU, Delhi]]></title>
  <description><![CDATA[
<p>R.A Jobs opportunity in Jawaharlal Nehru University (JNU) on purely temporary basis</p>

<p>Project Title : "Structural and functional characterization of serine biosynthetic pathway enzymes from Entamoeba histolytica"</p>

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

<p>Qualification : Ph.D in any computational biology / bioinformatics</p>

<p>Desirable : 1. Experience with docking, simulations and structural biology with proof of publications is preferred. 2. National Eligibility Test cleared [CSIR/UGC] candidate is preferred.</p>

<p>Salary : According to CSIR rules<br />How to apply</p>

<p>The application on plain paper indicating name, date of birth/age, address, essential/technical/professional qualifications. experience, list of publications should reach The Prof. S. Gourinath, Principal Investigator, [Project Director], School of Life Sciences, Jawaharlal Nehru University, New Delhi-110067, on or before 23rd May 2016.</p>

<p>More at http://www.jnu.ac.in/Career/currentjobs.htm</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25306/research-trainees-recruitment-in-national-agri-food-biotechnology-institute-nabi</guid>
  <pubDate>Sun, 29 Nov 2015 02:47:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Trainees recruitment in National Agri-Food Biotechnology Institute (NABI)]]></title>
  <description><![CDATA[
<p>Research Trainees recruitment in National Agri-Food Biotechnology Institute (NABI)</p>

<p>Eligibility : Pursuing final year of M.Sc./M.Tech.</p>

<p>Subject category for training : I. Agricultural biotechnology II. Computational biology and bioinformatics III. Food Science &amp; Technology IV. Nutrition Science &amp; Technology</p>

<p>Duration of Training : 6 months (January to June 2016)</p>

<p>Selection Procedure : Through screening and selection based on merit, experience, and expression of interest submitted by candidates <br />How to apply</p>

<p>The last date of application to reach NABI latest by November 30, 2015 by 5:30 PM </p>

<p>More at http://www.nabi.res.in/Training.aspx</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25251/m-d-university-rohtak-is-looking-for-the-post-of-research-associate</guid>
  <pubDate>Fri, 13 Nov 2015 02:56:48 -0600</pubDate>
  <link></link>
  <title><![CDATA[M. D. University, Rohtak is looking for the post of Research Associate]]></title>
  <description><![CDATA[
<p>M. D. University, Rohtak - Rohtak, Haryana<br />M. D. University, Rohtak is looking vacancies for the post of Research Associate</p>

<p>Project entitled: "Establish of Bioinformatics Facility for biology teaching through bioinformatics"</p>

<p>Name of post: Research Associate /Trainees</p>

<p>Number of post: 03</p>

<p>Educational Qualification and Experience: Candidates should have Ph D in relevant subjects with experience in handling computational biology resources and software</p>

<p>Selection mode: Walk in interview</p>

<p>How to apply?<br />Interested and eligible candidates may appear for a walk-in interview on 14th November 2015 at 11.00 am, in the office of Director, Centre for Bioinformatics along with CV and attested copies of all testimonials and additional qualifications.</p>

<p>Recruitment reference: http://www.mdurohtak.ac.in/pdf/career/adv_research_asso_dbt_bioinfo.pdf</p>
]]></description>
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