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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26617?offset=1330</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25866/jrf-bioinformatics-at-national-chemical-laboratory</guid>
  <pubDate>Sun, 03 Jan 2016 05:59:05 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at National Chemical Laboratory]]></title>
  <description><![CDATA[
<p>Junior Project Fellow Bioinformatics<br />Eligibility : ME/M.Tech, MSc(Bio-Informatics)<br />Location : Pune<br />Last Date : 08 Jan 2016<br />Hiring Process : Written-test, Face to Face Interview<br />National Chemical Laboratory </p>

<p>Junior Project Fellow Jobs opportunity in National Chemical Laboratory on contract basis<br />Project Code : BSC0117  <br />Title of the Project : Plant?Microbe and Soil Interactions (PMSI)  <br />No. of Post : 01<br />Qualification : M.Tech. / M.Sc. in Bioinformatics from a recognized university with minimum of 55% marks (aggregate) and sound Bioinformatics knowledge / experience<br />Desirable : Good knowledge of Linux (command line and GUI) and SQL; Java / Perl / Python / R / Bash programing / scripting; Analysis of NGS data; Protein modeling / docking; Development and maintenance of web &amp; database servers, etc<br />Emoluments : Rs. 16,000/?<br />Age Limit : 28 Years<br />Selection Procedure : Written Test / Interview<br />How to apply<br />Applications neatly typed in the prescribed proforma (enclosed herewith) duly completed and signed together with photo?copies of relevant certificates/ testimonials and photograph should be addressed to : The Head, Biochemical Sciences Division, Attn : Dr. Narendra Kadoo, CSIR?National Chemical Laboratory, Dr. Homi Bhabha Road, Pashan, Pune 411 008, so as to reach on or before 08/01/2016. Please superscribe the envelop “Application for Junior Project Fellow (Project: BSC0117)”.</p>

<p>More at http://www.ncl-india.org/files/JoinUs/JobVacancies/TemporaryJobs.aspx?</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/25993/hoffman-lab</guid>
  <pubDate>Tue, 12 Jan 2016 02:47:41 -0600</pubDate>
  <link></link>
  <title><![CDATA[Hoffman Lab]]></title>
  <description><![CDATA[
<p>They develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight.</p>

<p>https://www.pmgenomics.ca/hoffmanlab/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26380/hicdat</guid>
	<pubDate>Fri, 12 Feb 2016 05:23:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26380/hicdat</link>
	<title><![CDATA[HiCdat]]></title>
	<description><![CDATA[<p>HiCdat: a fast and easy-to-use Hi-C data analysis tool</p>
<p>HiCdat is easy-to-use and provides solutions starting from aligned reads up to in-depth analyses. Importantly, HiCdat is focussed on the analysis of larger structural features of chromosomes, their correlation to genomic and epigenomic features, and on comparative studies. It uses simple input and output formats and can therefore easily be integrated into existing workflows or combined with alternative tools.</p>
<p>More at http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0678-x</p><p>Address of the bookmark: <a href="https://github.com/MWSchmid/HiCdat" rel="nofollow">https://github.com/MWSchmid/HiCdat</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26456/the-mills-lab</guid>
  <pubDate>Wed, 24 Feb 2016 16:18:38 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Mills lab]]></title>
  <description><![CDATA[
<p>The laboratory is focused on the discovery and analysis of structural variation (SVs) from genomic sequence data. As part of the 1000 Genomes Project and other endeavors, we have helped produce initial fine-scale maps using a variety of SV discovery approaches including: (i) paired-end mapping (or read pair analysis) based on abnormally mapped pairs of clone ends; (ii) read-depth analysis, which detects deletions and duplications through analysis of the read depth-of-coverage; (iii) split read analysis, which detects SVs by evaluating gapped sequence alignments; and (iv) sequence assembly, which enables the discovery of novel (non-reference) sequence insertions.</p>

<p>http://millslab.org/research.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26573/efficient-genome-searching-with-biostrings-and-the-bsgenome-data-package</guid>
	<pubDate>Mon, 07 Mar 2016 05:18:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26573/efficient-genome-searching-with-biostrings-and-the-bsgenome-data-package</link>
	<title><![CDATA[Efficient genome searching with Biostrings and the BSgenome data package]]></title>
	<description><![CDATA[<p>Address of the bookmark: <a href="https://www.bioconductor.org/packages/3.3/bioc/vignettes/BSgenome/inst/doc/GenomeSearching.pdf" rel="nofollow">https://www.bioconductor.org/packages/3.3/bioc/vignettes/BSgenome/inst/doc/GenomeSearching.pdf</a></p>]]></description>
	<dc:creator>Aasha</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26712/post-doctoral-fellow-jobs-opportunity-in-srm-university</guid>
  <pubDate>Thu, 17 Mar 2016 11:20:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[Post-Doctoral Fellow Jobs opportunity in SRM University]]></title>
  <description><![CDATA[
<p>Post-Doctoral Fellow Jobs opportunity in SRM University</p>

<p>Essential qualification : Ph.D. in Bioinformatics/Biotechnology/Genetics/Computational Biology.Understanding of genomics data and advanced knowledge of Java, and C/C++ as the programming languages and the scripting language like perl and/or Python, SQL is preferred. Experience in High Performance Computing, data architecture, database development is desirable</p>

<p>Fellowship: Rs 35,000 /-<br /> <br />How to apply</p>

<p>Candidates are requested to send their CV, and a brief summary of research experience by e-mail careers.genetics@ktr.srmuniv.ac.in  on or before 30/03/2016.</p>

<p>More at http://www.srmuniv.ac.in/jobs-applications-for-position-of-post-doctoral-fellow</p>
]]></description>
</item>

<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/26876/one-year-internship-in-computational-biology-bioinformatics</guid>
  <pubDate>Mon, 04 Apr 2016 05:35:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[One-Year Internship In Computational Biology &amp; Bioinformatics]]></title>
  <description><![CDATA[
<p>This one-year internship program has an inter-disciplinary curriculum that rests on research strengths and infrastructure at the computational biology &amp; bioinformatics facility at Rajiv Gandhi Centre for Biotechnology . Using live demonstration platforms of high end genomic analysis systems including next generation sequencing, advanced proteomics platforms, advanced bio-imaging, student seminars in addition to computer laboratory based courses, interns will get state of the art exposure and training in application of bioinformatics to biomedical research.The internship involves 8 months of hands on training in wet and dry laboratory methods and a four-month dissertation. This internship program is designed for students who would like to gain good knowledge and experience in Bioinformatics as a prelude to taking up a PhD course or look for employment opportunities. The subjects covered during the internship will include but not limited to: <br />• Systems Biology<br />• Genomic Informatics<br />• Proteomic Informatics<br />• Biomedical Text Mining<br />• Ontologies<br />• Data Integration<br />• Data Mining<br />• Protein Structure &amp; Function<br />• Metabolomics<br />• Molecular Evolution<br />• Pathways &amp; Networks<br />• Resource Development<br />• Scripting &amp; Algorithms<br />Qualifications: Admission to the Internship requires a first class degree in Engineering Sciences (Biotechnology/Computer Science), Medical/Dental/Pharmaceutical Sciences (MBBS or BDS or BAM or B.Pharm) or a Masters degree in Life Science, Medical Laboratory Technology, Biotechnology, Bioinformatics or Computer Science.<br />Internship Fees: The internship fee for the 12-month program is Rupees 70,000 (Rupees Seventy thousand). This is payable as an initial admission fee of Rs. 10,000 followed by payments of Rs. 6,000 monthly from months 3 to 9. The final completion certificate will be given after payment of all fees. <br />Mode of Selection: Selection will be based on interview and the top 5 candidates will be shortlisted for the program.<br />Location: Thiruvananthapuram</p>

<p>More at http://rgcb.res.in/TrainingPrograms/internship.php</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27098/bioinformatics-faculty-at-tnu</guid>
  <pubDate>Wed, 27 Apr 2016 10:07:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Faculty at TNU]]></title>
  <description><![CDATA[
<p>TNU is hiring faculty as Professors, Associate Professors and Assistant Professors in the following research and teaching programs.</p>

<p>Basic Sciences</p>

<p>Biotechnology &amp; Bioinformatics</p>

<p>Qualifications are as per UGC norms. Please visit www.ugc.ac.in.</p>

<p>Educational, Age and experience requirements will be relaxed in exceptional cases.</p>

<p>Interested candidates are requested to apply with their complete CV with list of Publications, Patents, Industry and teaching experience at Undergraduate and Postgraduate level along with other relevant information to hr@tnu.in </p>

<p>Provide names and contact details of at least two references for confidential evaluation. </p>

<p>We follow Central University pay scales and few additional perks.     </p>

<p>TNU follows highly liberal HR Policy with no salary constraint for exceptional candidates.</p>

<p>Applications are invited for the positions of - Professor, Associate Professor &amp; Assistant Professor.<br />https://drive.google.com/file/d/0B0Y1Fpxmzyd3OHQ3aUNYa3hZY2c/view?usp=sharing</p>

<p>Reference<br />- Times of India, Ascent as on 20.04.2016.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/27235/supposedly-educational-r</guid>
	<pubDate>Tue, 03 May 2016 16:43:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/27235/supposedly-educational-r</link>
	<title><![CDATA[Supposedly Educational R]]></title>
	<description><![CDATA[<p>R 3.3.0 (codename &ldquo;Supposedly Educational&rdquo;)&nbsp;was <a href="http://r.789695.n4.nabble.com/R-3-3-0-is-released-td4720368.html" target="_blank">released today</a>.&nbsp;You can get the latest binaries version <strong><a href="http://cran.rstudio.com/" target="_blank">from here</a>.</strong>&nbsp;(or the .tar.gz&nbsp;<strong>source</strong> code from <a href="http://cran.r-project.org/src/base/R-3/R-3.3.0.tar.gz" target="_blank">here</a>).&nbsp;The full list of new features and bug fixes is provided below.</p><p>If you are using <strong>Windows&nbsp;</strong>you can easily upgrade to the latest version of R using <a href="http://cran.r-project.org/web/packages/installr/" target="_blank">the installr package</a>. Simply run the following code in Rgui:</p><div><table width="710">
<tbody>
<tr id="p613882">
<td id="p61388code2">
<pre><span style="color: #0000ff; font-weight: bold;">install.<span>packages</span></span><span style="color: #080;">(</span><span style="color: #ff0000;">"installr"</span><span style="color: #080;">)</span> <span style="color: #228b22;"># install </span>
setInternet2<span style="color: #080;">(</span>TRUE<span style="color: #080;">)</span>
installr<span style="color: #080;">::</span><span>updateR</span><span style="color: #080;">(</span><span style="color: #080;">)</span> <span style="color: #228b22;"># updating R.</span></pre>
</td>
</tr>
</tbody>
</table></div><p><span>Running &ldquo;updateR()&rdquo; will detect if there is a new R version available, and if so it will download+install it (etc.). There is also <a href="http://www.r-statistics.com/2015/06/a-step-by-step-screenshots-tutorial-for-upgrading-r-on-windows/" target="_blank">a&nbsp;step by step tutorial (with screenshots) on how to upgrade R on Windows, using the <em>installr</em></a>&nbsp;package. If you only see the option to upgrade to an older version of R, then change your mirror or try again in a few hours (it usually take around 24 hours for all CRAN mirrors to get the latest version of R).</span></p><p><em>I try to keep the <a href="https://github.com/talgalili/installr" target="_blank">installr</a> package updated and useful, so if you have any suggestions or remarks on the package &ndash; you are invited to <a href="https://github.com/talgalili/installr/issues" target="_blank">open an issue in the github page</a>.</em></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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