<?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/26925?offset=1040</link>
	<atom:link href="https://bioinformaticsonline.com/related/26925?offset=1040" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26823/srf-at-nrcpb-new-deslhi</guid>
  <pubDate>Fri, 25 Mar 2016 04:53:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF at NRCPB, New Deslhi]]></title>
  <description><![CDATA[
<p>NRCPB Recruitment 2016 – Walk in for SRF &amp; Young Professional Posts: National Research Centre on Plant Biotechnology (NRCPB) has announced a notification for the recruitment of Senior Research Fellow &amp; Young Professional Scheme vacancies for the project “NPTC Co-ordinating Cell” on temporary &amp; co-terminus basis. Eligible candidates may walk in interview on 29-03-2016 at 10.00 AM. Other details like age limit, educational qualification, selection process &amp; how to apply are given below…</p>

<p>NRCPB Vacancy Details:<br />Total No.of Posts: 02 <br />Name of the Posts:<br />1. Senior Research Fellow: 01 Post<br />2. Young Professional Scheme: 01 Post</p>

<p>Age Limit: Candidates maximum age should be 35 years. Age relaxation 5 years for SC/ ST/ OBC and women candidates as per ICAR rules.</p>

<p>Educational Qualification: Candidates should posses M.Sc/ M.Tech/ M.C.A. in Molecular Biology/ Biotechnology/ Life Sciences/ Allied Sciences/ Agricultural Sciences/ Computer Science/ Bioinformatics with 1st division or 60% marks or equivalent.</p>

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

<p>How to Apply: Eligible candidates may attend the interview along with four copies of biodata, original certificates, attested photocopies of each of the certificates and an attested copy of recent passport size photograph at NRCPB, LBS Building, Pusa Campus, New Delhi- 110012 on 29-03-2016 at 10.00 AM.</p>

<p>Important Dates:<br />Date &amp; Time of Interview: 29-03-2016 at 10.00 AM.<br />Venue: NRCPB, LBS Building, Pusa Campus, New Delhi-110012.</p>

<p>Read more: http://www.nrcpb.res.in/content/walk-interview-srf-and-yp</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26877/research-fellow-bioinformatics</guid>
  <pubDate>Mon, 04 Apr 2016 05:41:21 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Fellow Bioinformatics]]></title>
  <description><![CDATA[
<p>Research Fellow Bioinformatics<br />Eligibility : BSc(Bio-Tech), MSc(Bio-Tech)<br />Location : Ludhiana<br />Last Date : 19 Apr 2016<br />Hiring Process : Walk - In<br />Punjab Agricultural University</p>

<p>Research Fellow Bioinformatics job opportunities in Punjab Agricultural University<br />Qualification : B.Sc. with minimum OCPA 5.00/10.00 basis or 50% marks. ii. M.Sc. in Biotechnology/ Molecular Biology/Molecular Genetics/Bioinformatics/Genetics/Plant Breeding/Plant Breeding &amp; Genetics with at least 6.50/10.00 or 65% marks. iii. Ph.D. in the relevant field with minimum OCPA 6.50/10.00 or 65% marks<br />Pay Scale : Rs.24000/-<br />Application Fee : A Bank Draft of Rs. 200/- in favour of Comptroller, Punjab Agricultural University, Ludhiana <br /> <br />How to apply<br />Walk in Interview will be held on 26.09.2016 at 11:30 a.m. in the office of the Director, School of Agricultural Biotechnology. No separate information for interview will be sent. No TA/DA will be paid for attending the interview. Candidate Should apply with detailed bio data to this office latest by 19.04.2016</p>

<p>More at http://web.pau.edu/index.php?_act=manageAllBanner&amp;DO=viewAllBanner</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26968/scalce</guid>
	<pubDate>Fri, 15 Apr 2016 05:09:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26968/scalce</link>
	<title><![CDATA[SCALCE]]></title>
	<description><![CDATA[<p><span>SCALCE (</span><code>/skeɪlz/</code><span>, a.k.a. boosting&nbsp;</span><span style="text-decoration: underline;">S</span><span>equence&nbsp;</span><span style="text-decoration: underline;">C</span><span>ompression&nbsp;</span><span style="text-decoration: underline;">A</span><span>lgorithms using&nbsp;</span><span style="text-decoration: underline;">L</span><span>ocally&nbsp;</span><span style="text-decoration: underline;">C</span><span>onsistent</span><span style="text-decoration: underline;">E</span><span>ncoding) is a tool for compressing FASTQ files. It is designed specifically for the Illumina-generated FASTQ files, but supports any valid FASTQ with consistent read lengths.&nbsp;</span></p>
<p><span>More at&nbsp;http://sfu-compbio.github.io/scalce/</span></p><p>Address of the bookmark: <a href="http://sfu-compbio.github.io/scalce/" rel="nofollow">http://sfu-compbio.github.io/scalce/</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/31523/research-associate-bioinformatics-recruitment-in-national-bureau-of-plant-genetic-resources</guid>
  <pubDate>Fri, 10 Mar 2017 06:50:51 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics recruitment in National Bureau of Plant Genetic Resources]]></title>
  <description><![CDATA[
<p>Name of Project  : Indo-UK Centre for improvement of Nitrogen use efficiency in wheat Dr. Soma S. Marla, Pr. Scientist (Bioinformatics), Division of Genomic Resources, ICAR, NBPGR, ND. </p>

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

<p>Qualification : A doctoral (Ph.D). Degree in Bioinformatics OR 1. Masters degree in Bioinformatics or Computer Sciences having 1st division or 60% marks or equivalent overall grade point with at least two years of research experience as evidenced from Fellowship/ Associate ship. 2. NET or equivalent national level examination qualification is essential for the candidates with 3+2 years (B.Sc.+ M.Sc) pattern. Desirable: Demonstrated experience &amp; skills in database design, management, UNIX OS, HPC environment inbased NGS data analysis. Experience substantiated by publications of high quality will be preferred.</p>

<p>Emoluments : Rs. 40,000 (Ph.D)/ Rs + 30 % HRA; 38,000 (Masters) Degree + 30 % HRA.<br />Hiring Process : Walk - In<br />Job Role: Research/JRF/SRF</p>

<p>Candidates should appear by 10.00 AM on 16.03.2016 for registration with relevant documents in the room B4, Bioinformatics Lab, ICAR.NBPGR. old campus, Inderpuri, New Delhi.</p>

<p>The candidates who wish to attend the walk-in interview are requested to bring with them five copies of the CV (one copy with photograph) as per the format given below. Also, the candidates should bring the original documents such as DOB, degree certificates, marks sheets, publications, thesis, experience certificate etc. for verification.</p>

<p>http://www.nbpgr.ernet.in/Downloadfile.aspx?EntryId=7284</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27092/medea-comparative-genomic-visualization-with-adobe-flash</guid>
	<pubDate>Tue, 26 Apr 2016 12:15:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27092/medea-comparative-genomic-visualization-with-adobe-flash</link>
	<title><![CDATA[MEDEA: Comparative Genomic Visualization with Adobe Flash]]></title>
	<description><![CDATA[<p><span>As the number of sequence and annotated genomes grows larger, the need to understand, compare, and contrast the data becomes increasingly important. Using the power of the human visual system to detect trends and spot outliers is necessary in such large and complex data sets.</span></p>
<p><span>More at&nbsp;http://www.broadinstitute.org/annotation/medea/</span></p><p>Address of the bookmark: <a href="http://www.broadinstitute.org/annotation/medea/" rel="nofollow">http://www.broadinstitute.org/annotation/medea/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27099/rasttk-algorithm-for-building-custom-annotation-pipelines-and-annotating-batches-of-genomes</guid>
	<pubDate>Wed, 27 Apr 2016 11:07:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27099/rasttk-algorithm-for-building-custom-annotation-pipelines-and-annotating-batches-of-genomes</link>
	<title><![CDATA[RASTtk : algorithm for building custom annotation pipelines and annotating batches of genomes]]></title>
	<description><![CDATA[<p>The RAST (Rapid Annotation using Subsystem Technology) annotation engine was built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard software pipeline for identifying genomic features (i.e., protein-encoding genes and RNA) and annotating their functions. Recently, in order to make RAST a more useful research tool and to keep pace with advancements in bioinformatics, it has become desirable to build a version of RAST that is both customizable and extensible. In this paper, we describe the RAST tool kit (RASTtk), a modular version of RAST that enables researchers to build custom annotation pipelines. RASTtk offers a choice of software for identifying and annotating genomic features as well as the ability to add custom features to an annotation job. RASTtk also accommodates the batch submission of genomes and the ability to customize annotation protocols for batch submissions. This is the first major software restructuring of RAST since its inception.</p>
<p>More at http://www.nature.com/articles/srep08365</p><p>Address of the bookmark: <a href="http://rast.nmpdr.org/" rel="nofollow">http://rast.nmpdr.org/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27225/painless-package-development-for-r</guid>
	<pubDate>Tue, 03 May 2016 05:31:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27225/painless-package-development-for-r</link>
	<title><![CDATA[Painless package development for R]]></title>
	<description><![CDATA[<p>Devtools makes package development a breeze: it works with R&rsquo;s existing conventions for code structure, adding efficient tools to support the cycle of package development. With devtools, developing a package becomes so easy that it will be your default layout whenever you&rsquo;re writing a significant amount of code.</p>
<p>Before you get started be sure to check out:</p>
<ul>
<li><a href="https://groups.google.com/forum/#%21forum/rdevtools" title="Google devtools Group">devtools Google Group &ndash;&nbsp;https://groups.google.com/forum/#!forum/rdevtools</a></li>
<li><a href="http://adv-r.had.co.nz/" title="Hadley W Online Book">book on &ldquo;Advanced R programming&rdquo; &ndash;&nbsp;http://adv-r.had.co.nz/</a></li>
<li><a href="https://github.com/hadley/devtools" title="devtools GitHub">GitHub repository &ndash;&nbsp;https://github.com/hadley/devtools</a></li>
</ul>
<h3 id="getting_started">&nbsp;</h3><p>Address of the bookmark: <a href="https://www.rstudio.com/products/rpackages/devtools/" rel="nofollow">https://www.rstudio.com/products/rpackages/devtools/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27238/slurm</guid>
	<pubDate>Wed, 04 May 2016 05:13:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27238/slurm</link>
	<title><![CDATA[SLURM]]></title>
	<description><![CDATA[<p><a href="http://www.schedmd.com/">SLURM</a> workload manager software, a free open-source workload manager designed specifically to satisfy the demanding needs of high performance computing.</p>
<p>This page is a <em>HOWTO</em> guide for setting up a <a href="http://www.schedmd.com/">SLURM</a> installation, currently focused on a CentOS 7 Linux OS. Please send feedback to Ole.H.Nielsen /at/ fysik.dtu.dk.</p>
<p>See the <a href="http://www.schedmd.com/">SLURM</a> homepage (also <a href="https://computing.llnl.gov/linux/slurm/">https://computing.llnl.gov/linux/slurm/</a>).</p><p>Address of the bookmark: <a href="https://wiki.fysik.dtu.dk/niflheim/SLURM" rel="nofollow">https://wiki.fysik.dtu.dk/niflheim/SLURM</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27290/scientists-post-at-monsanto</guid>
  <pubDate>Wed, 11 May 2016 07:58:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[Scientists post at Monsanto]]></title>
  <description><![CDATA[
<p>Sustainable agriculture is at the core of Monsanto. We develop technologies that enable farmers to produce more crops while conserving natural resources. Monsanto scientists are conducting research and development (R&amp;D) to revolutionize plant breeding and biotechnology.</p>

<p>Monsanto is seeking a very talented Genomics Scientistto become an integral member of our Global Pipeline Analytics team with a focus on quantitative genetics. The ideal candidate will have familiarity with modeling and analysis of genetic data sets using a variety of statistical techniques.</p>

<p>Major Responsibilities:<br />- Provide guidance on experimental design for genomic-related experiments<br />- Familiarity with analysis of the following methods: GWS, QTL, eQTL, RNA-Seq<br />- Provide written and oral presentations of methods, results, conclusions, and recommendations to peer and management groups.<br />- Ensure timely delivery and clear communication of results<br />- Develop strong and successful collaborations among various Monsanto enabling teams.</p>

<p>Required Skills:</p>

<p>- PhD degree in Statistics, Biostatistics, Statistical Genetics, Quantitative Genetics, Breeding, Bioinformatics or a related field with 2 years of experience<br />- Working knowledge and experience with one of the following quantitative languages:R, Python, Perl, SAS<br />- Background in Windows and Linux operating systems<br />- Very strong problem solving skills will be required to work well as a member of a dynamic team<br />- Strong verbal and written communication skills.<br />- Demonstrated ability to deliver timely results and be results oriented.<br />- Extensive knowledge of quantitative genetics and experimental design.&nbsp;<br />- Demonstrated track record of solving challenging and complex problems.</p>

<p>Desired Skills/Experience:</p>

<p>- Excellent communication skills, with the ability to summarize complex concepts in language understandable by scientists from a variety of disciplines.<br />- Experience in agronomy and/or plant breeding in vegetables or row crops.</p>

<p>Please apply to<br />https://jobs.monsanto.com/job/st-louis/genomics-scientist/769/2081771</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/27318/sample-binc-question-paper-2016-part2</guid>
	<pubDate>Fri, 13 May 2016 03:42:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/27318/sample-binc-question-paper-2016-part2</link>
	<title><![CDATA[Sample BINC question paper 2016 - part2]]></title>
	<description><![CDATA[<p>Download the sample question paper for BINC 2016 - paer II</p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/27318" length="52024" type="application/pdf" />
</item>

</channel>
</rss>