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	<link>https://bioinformaticsonline.com/related/28937?offset=520</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26336/project-fellow-bioinformatics-at-central-university-of-himachal-pradesh</guid>
  <pubDate>Tue, 09 Feb 2016 03:58:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Fellow Bioinformatics at Central University of Himachal Pradesh]]></title>
  <description><![CDATA[
<p>Project Fellow Bioinformatics</p>

<p>Eligibility : MSc(Bio-Chemistry, Bio-Informatics)</p>

<p>Location : Kulu</p>

<p>Last Date : 07 Mar 2016</p>

<p>Hiring Process : Face to Face Interview<br />Central University of Himachal Pradesh</p>

<p>Project Fellow Bioinformatics Job in Central University of Himachal Pradesh</p>

<p>Project (MRP) entitled: “A project proposal on targeting novel prokaryotic ubiquitin like post-translational modification pathway for therapeutic interventions against Mycobacterium tuberculosis” (No. MRP-MAJOR-MICR-2013-26840)</p>

<p>Essential Qualification: 1. Master degree in Bioinformatics/Biochemistry/Biotechnology/Environmental Science/Microbiology or any branch of Life Sciences with a minimum of 55% marks for general category (50% in case of SC/ST/PH) 2. UGC/CSIR NET, GATE qualified candidates will be given preference. Desirable Qualification: Experience in basic Bioinformatics and Molecular Biology techniques.</p>

<p>Age: Below 40 years as on 01/10/2015.</p>

<p>No.of Post: 1</p>

<p>Salary: NET/GATE qualified candidate: Rs. 16,000/-p.m. for initial two years and Rs. 18,000/- p.m. for the third year. Non-NET/GATE candidates: Rs. 14,000/-p.m. for initial two years and Rs. 16,000/-p.m. for the third year.</p>

<p>Mode of Selection: The selection shall be made on the basis of merit. The eligible candidates are required to appear for interview before the duly constituted Selection Committee for the purpose. The scheduled date, time and venue for the interview shall be intimated to the eligible candidates through phone/ e-mail.<br />How to apply</p>

<p>Last date for the receipt of applications is 07.03.2016. </p>

<p>More at http://www.cuhimachal.ac.in/news_all.aspx</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26378/centurion</guid>
	<pubDate>Fri, 12 Feb 2016 04:45:41 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26378/centurion</link>
	<title><![CDATA[Centurion]]></title>
	<description><![CDATA[<p>Although centromeres are essential for life and are the subject of extensive research, centromere locations in yeast genomes are difficult to infer, and in most species they are still unknown. Recently, the chromatin conformation assay Hi-C has been re-purposed for diverse applications, including de novo genome assembly, deconvolution of metagenomic samples, and inference of centromere locations. We describe a method, Centurion, that jointly infers the locations of all centromeres in a single yeast genome by exploiting the centromeres&rsquo; tendency to cluster in 3D space. We first demonstrate the accuracy of Centurion in identifying known centromere locations from high coverage Hi-C data of budding yeast and a human malaria parasite. We then use two metagenomic samples with relatively low coverage Hi-C data to infer centromere locations for each chromosome in 14 different yeast species. For yeasts with large centromeres (e.g., S. pombe) Centurion predicts the exact centromere locations. For seven yeasts with point centromeres, Centurion predicts most of the centromeres at an average of 5~kb distance from their known locations. Finally, we predict centromere coordinates for six yeast species that currently lack centromere annotations. These results suggest that Centurion can be used for centromere identification for a large number of yeast species, even with a limited amount of Hi-C sequencing.</p>
<p>Paper:http://www.ncbi.nlm.nih.gov/pubmed/25940625</p>
<p>More at http://cbio.ensmp.fr/centurion/</p><p>Address of the bookmark: <a href="http://cbio.ensmp.fr/centurion/" rel="nofollow">http://cbio.ensmp.fr/centurion/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26432/summer-2016</guid>
  <pubDate>Sun, 21 Feb 2016 06:17:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[Summer 2016]]></title>
  <description><![CDATA[
<p>REU at Fordham University- Summer 2016</p>

<p>An NSF-funded REU to study Y-chromosome diversity and sex-biased dispersal in wild brown rats (Rattus norvegicus) is available in the Munshi-South Lab at Fordham University. Our lab is currently investigating rat evolution at scales ranging from landscape genetics of individual cities to global patterns of diversity. Development of resources for investigating Y-chromosome diversity will support many of these studies. The REU student will work with the lab to bioinformatically identify Y-chromosome SNPs, design SNPtype assays,<br />extract DNA, genotype samples, and analyze data.</p>

<p>We seek applicants interested in bioinformatics, evolutionary biology, and related disciplines.  Applicants must have taken a college-level genetics course.  This REU will require attention to detail, reliability, independence, and critical thinking.</p>

<p>This position is based at Fordham University's field station, the Louis Calder Center, in Armonk, NY. The Calder Center is located approximately 25 miles north of New York City in a protected woodland area. Housing<br />will be provided at the Calder Center for the duration of the REU (May 23 to Aug 12, 2016). Additionally, the student will receive a $6,000 stipend. The selected student will participate in professional development activities through the Calder Centers REU program, including presentation of results at a research colloquium at the end of the summer.</p>

<p>To apply, please send a one page personal statement about your scientific interests and how this REU will support your professional goals, unofficial transcripts including a list of Spring 2016 courses, and names of two professional references (including title, address, phone number, and email address) as a single pdf (with your last name in the file name) to Dr. Jason Munshi-South (jmunshisouth@fordham.edu).</p>

<p>Applications are due March 4th, 2016.</p>

<p>Jason Munshi-South</p>
]]></description>
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<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>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26543/breakseq2</guid>
	<pubDate>Mon, 29 Feb 2016 17:45:38 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26543/breakseq2</link>
	<title><![CDATA[BreakSeq2]]></title>
	<description><![CDATA[<p>Ultrafast and accurate nucleotide-resolution analysis of structural variants</p>
<p>More at http://bioinform.github.io/breakseq2/</p>
<p>Download BreakSeq2</p>
<p>Latest version: https://github.com/bioinform/breakseq2/archive/2.2.tar.gz<br><br>For other versions, see "releases". https://github.com/bioinform/breakseq2/releases</p><p>Address of the bookmark: <a href="http://bioinform.github.io/breakseq2/" rel="nofollow">http://bioinform.github.io/breakseq2/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27555/phd-at-institute-of-life-sciences-bhubaneswar</guid>
  <pubDate>Mon, 30 May 2016 03:36:04 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD at INSTITUTE OF LIFE SCIENCES, Bhubaneswar]]></title>
  <description><![CDATA[
<p>INSTITUTE OF LIFE SCIENCES</p>

<p>Bhubaneswar 751023</p>

<p>Advt No. 07/2016</p>

<p>Institute of Life Sciences (ILS), Bhubaneswar, an autonomous Institute of the Department of Biotechnology, Ministry of Science &amp; Technology, Government of India engaged in advanced research invites applications from Indian nationals for the Ph.D. program. The main focus of the projects will be computational biology in the following areas.</p>

<p>S. No. Area of Research Principal investigator</p>

<p>1. Computational Cancer Biology Dr. Anshuman Dixit</p>

<p>2. Immunogenomics &amp; Systems Biology Dr. Sunil Kumar Raghav</p>

<p>3. Chromatin remodeling and hematopoiesis Dr. Punit Prasad</p>

<p>Candidates are strongly encouraged to visit ILS webpage for detailed information, regarding the research activities of the above mentioned scientists.</p>

<p>Essential Qualifications:</p>

<p>(a) Eligibility: M.Sc., M.V.Sc., M.Pharm., M.S. Pharma. (with NET/GATE/GPAT/BINC/any other equivalent national level exam) or M.Tech with minimum of 60% marks (or equivalent grade point). Those awaiting final result may also apply.</p>

<p>Applications received after the last date will not be accepted. The envelope should clearly be superscribed with “Application for Ph.D. program (computational biology)”. Short-listed candidates selected for the interview will be published in the Institute website (www.ils.res.in).</p>

<p>Application Fees: Applicants except SC/ST candidates are required to send a non-refundable D.D. for Rs.100/- in favour of “Director, Institute of Life Sciences, Bhubaneswar” payable at Bhubaneswar along with duly filled-in application form by the date mentioned below. Director, ILS reserves the right to withdraw the procedure without assigning any reasons thereof.</p>

<p>Important dates: </p>

<p>Last date of receiving applications: 24th June 2016 </p>

<p>Date of display of short-listed candidates and instructions on the Institute website: 30th June 2016 </p>

<p>Date of interview: The interview will be organized on 25th July 2016</p>

<p>Advertisement: https://www.ils.res.in/wp-content/uploads/2016/05/advt07-16.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26852/awesome-bioinformatics-pipelines</guid>
	<pubDate>Wed, 30 Mar 2016 21:50:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26852/awesome-bioinformatics-pipelines</link>
	<title><![CDATA[Awesome bioinformatics pipelines !]]></title>
	<description><![CDATA[<p><span>A curated list of awesome pipeline toolkits ...</span></p>
<p><span>https://github.com/pditommaso/awesome-pipeline</span></p><p>Address of the bookmark: <a href="https://github.com/pditommaso/awesome-pipeline" rel="nofollow">https://github.com/pditommaso/awesome-pipeline</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26919/pear-a-fast-and-accurate-illumina-paired-end-read-merger</guid>
	<pubDate>Wed, 06 Apr 2016 13:27:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26919/pear-a-fast-and-accurate-illumina-paired-end-read-merger</link>
	<title><![CDATA[PEAR: a fast and accurate Illumina Paired-End reAd mergeR]]></title>
	<description><![CDATA[<p><strong>PEAR</strong>&nbsp;is an ultrafast, memory-efficient and highly accurate pair-end read merger. It is fully parallelized and can run with as low as just a few kilobytes of memory.</p>
<p>PEAR evaluates all possible paired-end read overlaps and without requiring the target fragment size as input. In addition, it implements a statistical test for minimizing false-positive results. Together with a highly optimized implementation, it can merge millions of paired end reads within a couple of minutes on a standard desktop computer.</p>
<p>More at&nbsp;http://www.exelixis-lab.org/web/software/pear</p>
<p>Paper:&nbsp;http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933873/</p><p>Address of the bookmark: <a href="http://www.exelixis-lab.org/web/software/pear" rel="nofollow">http://www.exelixis-lab.org/web/software/pear</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27211/srbioinformatics-analyst-ngs-ocimumbio</guid>
  <pubDate>Mon, 02 May 2016 04:41:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[Sr.Bioinformatics Analyst (NGS) @ OcimumBio]]></title>
  <description><![CDATA[
<p>Sr.Bioinformatics Analyst (NGS)</p>

<p>Experience Required: 3-5 years of experience<br />No of Positions : Multiple<br />Qualifications: Candidates with minimum qualification as M.Sc Bioinformatics with 3-5  years of experience in Life sciences R&amp;D or Pharma Industry.<br />Ph.D candidates with research experience in Bioinformatics with publications in International journal and minimum 2 years of  industry experience in clinical genomics will be preferred for this position.</p>

<p>Requirement:</p>

<p>1.  Must have basic understanding of molecular biology and Genomics.<br />2. Experience in application development or must have expertise in programming using either of Perl/Python.<br />3.  Experience in statistical programming using R/Bioconductor/Matlab.<br />4. Strong concept in statistical and mathematical modelling.<br />5.  Experience in designing and developing the bioinformatics pipeline.<br />6.  Must have minimum 2+ years of hands on experience in NSG data analysis such as RNA-Seq,Exome-Seq ,Chip-Seq and downstream analysis.<br />7. Knowledge in WGS ,WES, Targeted re-sequencing,GWAS and population genomics will be preferred.<br />8. Must have experience working on opensource software/Framework and commercial software for NGS data analysis and reporting.<br />9. Should be aware of handling big data and guiding team members on multiple projects simultaneously.<br />More at http://www.ocimumbio.com/careers1/<br />10. Should have experience coordinating with different groups of clinical research scientist for various project requirements.<br />11. Ability to work as team as well as independently with minimal support.</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/27250/lawley-lab</guid>
  <pubDate>Mon, 09 May 2016 03:29:51 -0500</pubDate>
  <link></link>
  <title><![CDATA[Lawley Lab]]></title>
  <description><![CDATA[
<p>Lawley Lab are covered with a complex microbial community, known as our microbiota, which plays important roles in our physiology, immunity, metabolism and sustenance. Within the human gastrointestinal tract alone there are over 1,000 bacterial species, which amounts to approximately 10 times more cells than we harbor in our entire body and 200 times more genes than are found within our genome. Lawley Lab are really a 'supraorganism' consisting of our 'human' and 'microbial' selves.</p>

<p>More at http://www.sanger.ac.uk/science/groups/lawley-lab</p>
]]></description>
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