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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26923?offset=380</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25301/jrf-bioinformatics-at-cuk</guid>
  <pubDate>Sat, 28 Nov 2015 03:26:21 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at CUK]]></title>
  <description><![CDATA[
<p>JRF job opportunity in Central University of Kerala (CUK) on temporary basis </p>

<p>Project Title : "Targeting TAL effector mediated susceptibility for durable and broad-spectrum resistance to bacterial blight in Rice"</p>

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

<p>Qualification : MSc in any subject under Life Science or Bioinformatics/ B.Tech in Bioinformatics + 1 yr experience </p>

<p>Stipend : Rs. 14,000/-</p>

<p>How to apply</p>

<p>Interested candidates are requested to send their applications explaining their interest in the position with an updated CV to Dr. Ginny Antony, Assistant Professor, Department of Plant Science, School of Biological Sciences, Central University of Kerala, Padannakkad, Kasaragod, Kerala - 671 314 email: ginnycuk2013@gmail.com on or before 20th December, 2015.</p>

<p>More at http://cukerala.ac.in/index.php?option=com_content&amp;view=article&amp;id=1022:applications-invited-for-the-post-of-jrf-department-of-plant-science&amp;catid=106&amp;Itemid=593&amp;lang=en</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25503/assistant-professor-computational-biology-and-bioinformatics-in-navi-mumbai</guid>
  <pubDate>Fri, 04 Dec 2015 20:40:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor - Computational Biology and Bioinformatics in Navi Mumbai]]></title>
  <description><![CDATA[
<p>No. ACTREC / ADVT-A/2/2015 <br />Pay in Pay band and Grade Pay : PB-3 (Rs 15,600-39,100) Pay in pay band Rs 21,900+ G.P. of Rs 7,600 <br />Total emoluments = 82,000/- p.m. &amp; nbsp <br />Educational Qualification : Ph.D. or MD/Ph.D. <br />Experience : Post MD / Ph.D. Research experience of 5 years The last date of application submission is January 15th, 2016. <br />Interested candidates shall send the applications through email: office.sao(at)actrec.gov.in. <br />For More Details : www.actrec.gov.in/data%20files/Vacancies/2015/Faculty-Positions-SOE-24-11-15.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25410/srfjrf-bioinformatics-at-ciari</guid>
  <pubDate>Fri, 04 Dec 2015 00:10:09 -0600</pubDate>
  <link></link>
  <title><![CDATA[SRF/JRF Bioinformatics at CIARI]]></title>
  <description><![CDATA[
<p>Realizing the importance of Island Agriculture to meet the requirements of local population and tourists, Indian Council of Agricultural research (ICAR) established Central Island Agricultural Research Institute, Port Blair on June 23rd, 1978 by merging different regional research stations of ICAR institutes located in Islands. The ultimate aim of CIARI is the developments of island agricultural production technologies which utilizes the strengths of the island and convert the constraints in opportunities, without causing any ill effect to the fragile ecosystem of the island.The institute has made tremendous progress in the Agriculture development of the islands during the last three decades. Keeping in view the natural resources of the islands diversity, fragile ecosystem, research program would be designed to maximize the productivity without disturbing to the islands ecosystem to provide better and decent livelihood and as a source of revenue and resource generation. Research and development in Agriculture sector should cover all disciplines in order to have a balanced progress in all disciplines for the overall benefits of the farmers of these islands.</p>

<p>Position I</p>

<p>Job Title : Junior Research Fellow</p>

<p>No. of Posts : One</p>

<p>Project : Establishment of sub distributed information centre</p>

<p>Qualification : M.Sc in Basic Science with NET or B.Sc in professional course with NET or M.Sc in professional course</p>

<p>Desired Experience : Experience in Bioinformatics and molecular biology</p>

<p>Payscale : Rs. 25000 per month</p>

<p>Age Limit : Upto 35 for men and 40 for women with 5 years relaxation to SC/ST and 3 years relaxation for OBC.</p>

<p>Position II</p>

<p>Job Title : Traineeship</p>

<p>No. of Posts : One</p>

<p>Project : Establishment of sub distributed information centre</p>

<p>Qualification : B.Sc Bioinformatics /Biotechnology / Life Science / Computer Science</p>

<p>Desired Experience : Experience in Bioinformatics and molecular biology</p>

<p>Payscale : Rs. 8000 per month</p>

<p>Age Limit : Upto 35 for men and 40 for women with 5 years relaxation to SC/ST and 3 years relaxation for OBC.</p>

<p>Position III</p>

<p>Job Title : Studentship</p>

<p>No. of Posts : Two</p>

<p>Project : Establishment of sub distributed information centre</p>

<p>Qualification : B.Sc Bioinformatics /Biotechnology / Life Science / Computer Science</p>

<p>Desired Experience : Experience in Bioinformatics and molecular biology</p>

<p>Payscale : Rs. 8000 per month</p>

<p>Age Limit : Upto 35 for men and 40 for women with 5 years relaxation to SC/ST and 3 years relaxation for OBC.</p>

<p>How to Apply : Candidates who meet the requirements can attend the walk in interview at CIARI,Port Blair on 09.12.2015 10.30AM.</p>

<p>http://icar-ciari.res.in/employment/9-12-15.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25674/post-doc-position-at-labgem-evry-france</guid>
  <pubDate>Fri, 11 Dec 2015 06:24:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Post-doc position at LABGeM - Evry, France]]></title>
  <description><![CDATA[
<p>The LABGeM team (CEA/Genoscope, CNRS UMR 8030, France, Dir. Claudine Médigue) is developing integrated approaches which combines bioinformatics methods based (i) on genomic and metabolic contexts, (ii) on an orignal metabolic network representation and (iii) on a structural classification of active sites for the discovery of new metabolic enzymatic activities.</p>

<p>We are hiring a post-doctoral fellow for the development of innovative bioinformatics methods to explore metabolic networks and enzyme families. These methods will be based on protein family analysis and graph approaches combining genomic and metabolic contexts.</p>

<p>For more details, please see this link : http://goo.gl/tHQOqk</p>

<p>Qualifications:<br />PhD degree in bioinformatics or computational biology<br />- Previous experience in network or protein family analysis<br />- Programming skills (C/C++, Python, Java) and in common biostatistical analyses<br />- Team player, innovative and creative thinking, good oral and written communication skills</p>

<p>24 months, Post Doctoral position<br />Start: from March 2016<br />Place: CEA, Genoscope UMR8030, LABGeM (Laboratory of Bioinformatics Analyses for Genomics and Metabolism), Evry, France<br />Contact: David Vallenet, vallenet@genoscope.cns.fr<br />Publications: https://scholar.google.com/citations?user=rJNPLSAAAAAJ<br />Remuneration per month: from 2,850 €</p>

<p>Interested candidates should send their CV, statement of research interests, and contact information of at least 2 references to David Vallenet (vallenet@genoscope.cns.fr).</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26221/project-assistant-at-iiser-mohali</guid>
  <pubDate>Fri, 29 Jan 2016 11:04:27 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant at IISER Mohali]]></title>
  <description><![CDATA[
<p>Project Assistant Job position in Indian Institute of Science Education &amp; Research (IISER) Mohali </p>

<p>Title : In silico understanding of molecular basis of recognition, binding, and regulation of mRNA by STAR family of transcriptional regulators.</p>

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

<p>Department : Science and Technology</p>

<p>Qualifications : M.Sc./B.Tech in computational life sciences, computational chemistry, computational natural sciences or allied areas. Working experience in MD simulations, bioinformatics, molecular modeling, and drug designing is desirable and plus</p>

<p>Emoluments : As per DST norms<br />How to apply</p>

<p>Applicants are requested to send application along with bio-data and a summary of previous projects (if any) as a PDF file with the e-mail to Dr. Monika Sharma, Email: mnsharma@iisermohali.ac.in. Last date of applications is 17:00 IST. Feb 15, 2016. Shortlisted candidates will be called for interview on Feb 22, 2016. </p>

<p>More at http://14.139.227.202/tenders/tenderinvite/index.php/iiserm-project-openings/554-applications-are-invited-to-work-as-project-assistant-in-a-dst-inspire-research-project-funded-by-department-of-science-and-technology-india</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26453/stacks</guid>
	<pubDate>Wed, 24 Feb 2016 15:52:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26453/stacks</link>
	<title><![CDATA[Stacks]]></title>
	<description><![CDATA[<p>Stacks is a software pipeline for building loci from short-read sequences, such as those generated on the Illumina platform. Stacks was developed to work with restriction enzyme-based data, such as RAD-seq, for the purpose of building genetic maps and conducting population genomics and phylogeography.</p>
<p>More at http://catchenlab.life.illinois.edu/stacks/</p><p>Address of the bookmark: <a href="http://catchenlab.life.illinois.edu/stacks/" rel="nofollow">http://catchenlab.life.illinois.edu/stacks/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26539/scikit-learn</guid>
	<pubDate>Mon, 29 Feb 2016 17:39:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26539/scikit-learn</link>
	<title><![CDATA[scikit-learn]]></title>
	<description><![CDATA[<p>Machine Learning in Python</p>
<p>Simple and efficient tools for data mining and data analysis<br> Accessible to everybody, and reusable in various contexts<br> Built on NumPy, SciPy, and matplotlib<br> Open source, commercially usable - BSD license</p>
<p>More at&nbsp;http://scikit-learn.org/stable/index.html</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://scikit-learn.org/stable/auto_examples/index.html" rel="nofollow">http://scikit-learn.org/stable/auto_examples/index.html</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27463/bpipe-a-tool-for-running-and-managing-bioinformatics-pipelines</guid>
	<pubDate>Sat, 21 May 2016 22:42:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27463/bpipe-a-tool-for-running-and-managing-bioinformatics-pipelines</link>
	<title><![CDATA[Bpipe - a tool for running and managing bioinformatics pipelines]]></title>
	<description><![CDATA[<p>Bpipe provides a platform for running big bioinformatics jobs that consist of a series of processing stages - known as 'pipelines'.</p>
<ul>
<li>January 20th, 2016 - New! Bpipe 0.9.9 released!</li>
<li>Download <a href="http://download.bpipe.org/versions/bpipe-0.9.9.tar.gz">latest</a>, <a href="http://download.bpipe.org">all</a></li>
<li><a href="http://docs.bpipe.org">Documentation</a></li>
<li><a href="https://groups.google.com/forum/#%21forum/bpipe-discuss">Mailing List</a> (Google Group)</li>
</ul>
<p>Bpipe has been published in <a href="http://bioinformatics.oxfordjournals.org/content/early/2012/04/11/bioinformatics.bts167.abstract">Bioinformatics</a>! If you use Bpipe, please cite:</p>
<p><em>Sadedin S, Pope B &amp; Oshlack A, Bpipe: A Tool for Running and Managing Bioinformatics Pipelines, Bioinformatics</em></p><p>Address of the bookmark: <a href="http://docs.bpipe.org/" rel="nofollow">http://docs.bpipe.org/</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27113/picard</guid>
	<pubDate>Fri, 29 Apr 2016 08:21:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27113/picard</link>
	<title><![CDATA[Picard]]></title>
	<description><![CDATA[<p>Picard is a set of command line tools for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF. These file formats are defined in the <a href="http://samtools.github.io/hts-specs/">Hts-specs</a> repository. See especially the <a href="http://samtools.github.io/hts-specs/SAMv1.pdf">SAM specification</a> and the <a href="http://samtools.github.io/hts-specs/VCFv4.3.pdf">VCF specification</a>.</p>
<p>Note that the information on this page is targeted at end-users. For developers, the source code, building instructions and implementation/development resources are available on <a href="https://github.com/broadinstitute/picard">GitHub</a>.</p>
<p>The Picard toolkit is open-source under the <a href="https://tldrlegal.com/license/mit-license">MIT license</a> and free for all uses.</p>
<p>Enjoy!</p><p>Address of the bookmark: <a href="http://broadinstitute.github.io/picard/" rel="nofollow">http://broadinstitute.github.io/picard/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26909/sequence-assembly-with-mira-4</guid>
	<pubDate>Wed, 06 Apr 2016 08:21:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26909/sequence-assembly-with-mira-4</link>
	<title><![CDATA[Sequence assembly with MIRA 4]]></title>
	<description><![CDATA[<p>MIRA is a multi-pass DNA sequence data assembler/mapper for whole genome and EST/RNASeq projects. MIRA assembles/maps reads gained by</p>
<div>
<ul>
<li>
<p>electrophoresis sequencing (aka Sanger sequencing)</p>
</li>
<li>
<p>454 pyro-sequencing (GS20, FLX or Titanium)</p>
</li>
<li>
<p>Ion Torrent</p>
</li>
<li>
<p>Solexa (Illumina) sequencing</p>
</li>
<li>
<p>(in development) Pacific Biosciences sequencing</p>
</li>
</ul>
</div>
<p>into contiguous sequences (called <span><em>contigs</em></span>). One can use the sequences of different sequencing technologies either in a single assembly run (a <span><em>true hybrid assembly</em></span>) or by mapping one type of data to an assembly of other sequencing type (a <span><em>semi-hybrid assembly (or mapping)</em></span>) or by mapping a data against consensus sequences of other assemblies (a <span><em>simple mapping</em></span>).</p>
<p>The MIRA acronym stands for <span><strong>M</strong></span>imicking <span><strong>I</strong></span>ntelligent <span><strong>R</strong></span>ead <span><strong>A</strong></span>ssembly and the program pretty well does what its acronym says (well, most of the time anyway). It is the Swiss army knife of sequence assembly that I've used and developed during the past 14 years to get assembly jobs I work on done efficiently - and especially accurately. That is, without me actually putting too much manual work into it.</p>
<p>More at http://mira-assembler.sourceforge.net/docs/DefinitiveGuideToMIRA.html</p><p>Address of the bookmark: <a href="http://mira-assembler.sourceforge.net/docs/DefinitiveGuideToMIRA.html" rel="nofollow">http://mira-assembler.sourceforge.net/docs/DefinitiveGuideToMIRA.html</a></p>]]></description>
	<dc:creator>Priya Singh</dc:creator>
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