<?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/26453?offset=690</link>
	<atom:link href="https://bioinformaticsonline.com/related/26453?offset=690" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25286/postdoctoral-positions-are-available-at-instem</guid>
  <pubDate>Tue, 24 Nov 2015 23:24:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral positions are available at inStem]]></title>
  <description><![CDATA[
<p>A position for a Postdoctoral fellow is available in the area of bioinformatics and genomics. The Institute for Stem Cell Biology and Regenerative Medicine (inStem) is a highly collaborative environment and we are seeking an individual who can interface with both wet and dry lab scientists to use profiling technologies to advance our understanding of tissue regeneration and repair. Consequently, the selected candidate for this position can expect world-class training in integrating the fields of cell biology, molecular biology, animal models, and genomics/proteomics.</p>

<p>We are seeking an individual with expertise in analyzing next generation sequencing data, mutation calling in exome seq data, network inference, data integration, and modeling. Competitive candidates would also have programming experience in scripting languages with perl, C, C++, and R programming. This position requires a PhD in Computational Biology, Bioinformatics, Biostatistics or related fields, and evidence of scientific productivity through publications in international journals. Motivation to gain an in-depth understanding of biological phenomena is required! Applications should include a current CV and names of at least three references. Application packages and inquiries regarding this position can be sent to Dr. Dasaradhi Palakodeti ( dasaradhip@instem.res.in ) or Dr. Colin Jamora ( colinj@instem.res.in). Screening of applications will commence immediately and the position will remain open until filled.</p>

<p>More at https://www.instem.res.in/open-positions</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25309/research-development-informatics-officer</guid>
  <pubDate>Sun, 29 Nov 2015 03:47:34 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research &amp; Development - Informatics Officer]]></title>
  <description><![CDATA[
<p>Research &amp; Development - Informatics Officer<br />Centre for Innovative and Applied Bioprocessing - Mohali, Punjab<br />(Area Coverage: Database and Research Analysis, Documentation, Research Reference, Document &amp; Domain Knowledge Library, Application Programs)<br />Rs. 15600-39100 (PB-3) + Rs. 6600 (Grade Pay)<br />(Higher start within the scale is possible for a deserving case)<br />One Position (Unreserved)<br />Age limit: 45 Years</p>

<p>Essential Qualifications:<br />First class M. Tech or M.E. in computer science or information technology or bioinformatics with 4 years of R&amp;D experience (after Master’s Degree) in an R&amp;D organization with work profile of large data assembly, analysis, and/or customer/user-based software programming and/or, program implementation, database development evidenced by patents and/or publications, credible scale of R&amp;D related data/data sets submission to public database for expanded use etc. Company Info.<br />Centre for Innovative and Applied Bioprocessing</p>

<p>CENTER OF INNOVATIVE AND APPLIED BIOPROCESSING (A National Institute under Dept. of Biotechnology, Ministry of Science &amp; Technology, Govt. of India) 2nd Floor, C-127, Phase VIII, Industrial Area, S.A.S. Nagar, Mohali-160071(Pb). Additional Information States &amp; U.T State &amp; Union Territories Punjab How To Apply Apply Details<br />Apply directly.. Web/Notification URL http://ciab.res.in/vacancies/CIAB-Rollin g%20Advt-2015.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25409/jrf-bioinformatics-at-cuk</guid>
  <pubDate>Thu, 03 Dec 2015 23:40:38 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at CUK]]></title>
  <description><![CDATA[
<p>JRF Bioinformatics</p>

<p>Eligibility : MSc(Bio-Informatics), BE/B.Tech</p>

<p>Location : Kasaragod</p>

<p>Last Date : 20 Dec 2015</p>

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

<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/-<br />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>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25651/jrftraineeshipstudentship-bioinformatics</guid>
  <pubDate>Thu, 10 Dec 2015 13:49:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF/Traineeship/Studentship Bioinformatics]]></title>
  <description><![CDATA[
<p>JRF/Traineeship/Studentship Bioinformatics</p>

<p>Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg, CSE), MSc(Bio-Informatics, CS)</p>

<p>Location : Delhi</p>

<p>Last Date : 18 Dec 2015</p>

<p>Hiring Process : Walk - In<br />IARI - Job Details</p>

<p>JRF/Traineeship/Studentship Bioinformatics job position in Indian Agricultural Research Institute (IARI) purely temporary</p>

<p>JRF</p>

<p>Qualification: i) Master’s degree in Bioinformatics or Computer Science + NET qualification, or ii) M. Tech degree in Bioinformatics or Computer Science/Engineering</p>

<p>Desirable: Efficiency to handle agricultural databases and bioinformatics tool development</p>

<p>Pay Scale :Rs 25000/- </p>

<p>Age limit : 35 years</p>

<p>Traineeship/2 Post</p>

<p>Qualification: M.Sc./M. Tech (Bioinformatics) with 60 % marks from a recognized University </p>

<p>Pay Scale :Rs. 8000/-consolidated</p>

<p>Age limit : 35 years</p>

<p>Studentship/4 Post</p>

<p>Qualification: Final year M.Sc./ M.Tech (Bioinformatics) Students from a recognized University</p>

<p>Pay Scale :Rs. 8000/-consolidated</p>

<p>Age limit : 35 years<br />How to apply</p>

<p>Walk-in-Interview will be held on 18th December 2015 at 10:00 AM at AKMU, LBS Building,IARI, Pusa Campus, New Delhi-110012. Bring self attested copies and originals of all certificates ( class 10th )onwards along with biodata in the attached format, proof of date of birth, one passport size photo, NOC from present employer, if any.</p>

<p>More at http://www.iari.res.in/index.php?option=com_jumi&amp;fileid=24&amp;Itemid=664</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25815/jrf-bioinformatics-job-position-in-university-of-hyderabad</guid>
  <pubDate>Tue, 29 Dec 2015 01:00:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics job position in University of Hyderabad]]></title>
  <description><![CDATA[
<p>JRF Bioinformatics</p>

<p>Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg), MSc(Bio-Informatics)</p>

<p>Location : Hyderabad</p>

<p>Last Date : 30 Dec 2015</p>

<p>Hiring Process : Written-test<br />University of Hyderabad</p>

<p>JRF Bioinformatics job position in University of Hyderabad </p>

<p>Project Entitled : Programming protective humoral responses with novel vaccine formulations against Dengue Virus</p>

<p>Essential Qualifications : M. Sc. in Life Sciences/Bioinformatics/ or M. Tech in Bioinformatics with a minimum of 60% marks and with CSIR-UGC JRF/NET or valid GATE score are preferred. Desirable : Candidates should have six months to one year hands on experience in molecular biology techniques like gene cloning, protein expression and purification, hands on various nano-formulations for drug/vaccine delivery, immunological assays including animal handling, immunizations, T cells and B cell assays or Candidate should have strong background in Bioinformatics and computational Biology, good programming skill particularly proficiency in R/PERL/PYTHON. Candidates interested in above position should send a one page statement clearly explaining how their skills are relevant to the above said position. The candidates should also enclose detailed CV and the name/Email IDs of three references</p>

<p>Fellowship : Rs. 16,000 p.m. + 30% H.R.A. for the first two years (Revised DBT fellowship guidelines maybe applicable)</p>

<p>Duration : The appointment will be on temporary basis for a period of one year. Based on performance, the appointment could be extended till the end of project<br /> <br />How to apply</p>

<p>Submit your application (hardcopy) in a closed envelope to Dr.Nooruddin<br />Khan, Room S-66B,Department of Biotechnology and Bioinfromatics, School of Life Sciences, University of Hyderabad, Gachibowli, Hyderabad 500 046 or E mail: nklabsls@gmail.com. Last date for receipt of applications is on or before 30.12.2015</p>

<p>More at http://uohyd.ac.in/index.php/component/content/article/87-administration/recruitments/129</p>
]]></description>
</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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26535/svelter</guid>
	<pubDate>Mon, 29 Feb 2016 17:33:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26535/svelter</link>
	<title><![CDATA[svelter]]></title>
	<description><![CDATA[<p>This software is designed to identify both simple and complex rearrangements from paired-end sequencing data. Users could ran it easily by just alling&nbsp;<em>SVelter.py</em>&nbsp;with proper parameters. It's also possible to ran it on multiple cores by calling different sub-functions separately.</p>
<p>More at&nbsp;https://github.com/mills-lab/svelter/</p><p>Address of the bookmark: <a href="https://github.com/mills-lab/svelter/" rel="nofollow">https://github.com/mills-lab/svelter/</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26923/quast-quality-assessment-tool-for-genome-assemblies</guid>
	<pubDate>Wed, 06 Apr 2016 18:23:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26923/quast-quality-assessment-tool-for-genome-assemblies</link>
	<title><![CDATA[QUAST: quality assessment tool for genome assemblies]]></title>
	<description><![CDATA[<p><span>QUAST evaluates genome assemblies. For metagenomes, please see&nbsp;<a href="http://bioinf.spbau.ru/metaquast">MetaQUAST</a>&nbsp;project.</span><br><span>It can works both with and without a given reference genome.</span><br><span>The tool accepts multiple assemblies, thus is suitable for comparison.</span></p>
<p><span>More at&nbsp;http://bioinf.spbau.ru/quast</span></p>
<p><span>http://bioinformatics.oxfordjournals.org/content/early/2013/03/09/bioinformatics.btt086.long</span></p><p>Address of the bookmark: <a href="http://bioinformatics.oxfordjournals.org/content/early/2013/03/09/bioinformatics.btt086.long" rel="nofollow">http://bioinformatics.oxfordjournals.org/content/early/2013/03/09/bioinformatics.btt086.long</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>

</channel>
</rss>