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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30111?offset=1330</link>
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	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26500/postdoc-at-iiser-tvm</guid>
  <pubDate>Fri, 26 Feb 2016 03:53:05 -0600</pubDate>
  <link></link>
  <title><![CDATA[PostDoc at IISER -TVM]]></title>
  <description><![CDATA[
<p>Postdoctoral Fellowship/ Research Associateship</p>

<p>Eligibility : M Phil / Phd</p>

<p>Location : Thiruvananthapuram</p>

<p>Last Date : 30 Apr 2016</p>

<p>Hiring Process : Face to Face Interview<br />IISER -TVM </p>

<p>The Postdoctoral Fellowship/Research Associateship is a full-time, contractual position for highly qualified young scientists to carry out research at CCMS, IISER-TVM.</p>

<p>Research areas at the Centre</p>

<p>Quantum Chemistry/ Computational Fluid Dynamics/Condensed Matter Physics (Theory)/Genomics/Genetics/Gravitational Waves</p>

<p>Qualifications: PhD in Bioinformatics / Biophysics / Physics / Astrophysics / Chemistry / Mathematics / Engineering (Mechanical/Aerospace) Those who are in the final stages of their Ph.D. thesis submission are also eligible to apply. However, those candidates must have submitted the thesis at the time of the interview.</p>

<p>Experience: Applicants should have at least three peer reviewed publications and relevant experience in the research area they are applying for.</p>

<p>No. of positions: 5</p>

<p>Age limit: 35 yrs or below. A relaxation of 5 yrs will be applicable to candidates belonging to SC/ST/OBC and women candidates</p>

<p>Salary: The Fellowship carries a remuneration of INR Rs. 5,18,000 - Rs. 5,76,000 per annum (including HRA). The postdoctoral fellowship may not be held concurrently with any other national or international fellowships. It is also not transferable to any other fellowship<br />How to apply</p>

<p>Applications should reach the Head, CCMS, IISER Thiruvananthapuram,CET Campus, Engineering College PO,Thiruvananthapuram 695016 on or before April 30, 2016 by e-mail to ccms@iisertvm.ac.in by mentioning the research area name in the subject line. </p>

<p>More at http://www.iisertvm.ac.in/openings/read_opening/150.phpx</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41033/clark-fast-accurate-and-versatile-sequence-classification-system</guid>
	<pubDate>Sat, 15 Feb 2020 01:49:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41033/clark-fast-accurate-and-versatile-sequence-classification-system</link>
	<title><![CDATA[CLARK: Fast, accurate and versatile sequence classification system]]></title>
	<description><![CDATA[<p><span></span><a href="http://dx.doi.org/10.1186/s12864-015-1419-2"><strong>CLARK</strong></a><span>, a method based on a supervised sequence classification using discriminative&nbsp;</span><em>k</em><span>-mers. Considering two distinct specific classification problems (see the article for details), namely (1) the taxonomic classification of metagenomic reads to known bacterial genomes, and (2) the assignment of BAC clones and transcript to chromosome arms/centromeres (in the absence of a finished assembly for the reference genome), CLARK outperforms in classification speed and precision the best state-of-the-art methods.</span></p>
<p><span><a href="http://clark.cs.ucr.edu/Spaced/">http://clark.cs.ucr.edu/Spaced/</a></span></p><p>Address of the bookmark: <a href="http://clark.cs.ucr.edu/Spaced/" rel="nofollow">http://clark.cs.ucr.edu/Spaced/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<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/42160/vicuna-a-software-tool-that-enables-consensus-assembly-of-ultra-deep-sequence-derived-from-diverse-viral-or-other-heterogeneous-populations</guid>
	<pubDate>Tue, 25 Aug 2020 03:40:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42160/vicuna-a-software-tool-that-enables-consensus-assembly-of-ultra-deep-sequence-derived-from-diverse-viral-or-other-heterogeneous-populations</link>
	<title><![CDATA[VICUNA: a software tool that enables consensus assembly of ultra-deep sequence derived from diverse viral or other heterogeneous populations.]]></title>
	<description><![CDATA[<p><span>VICUNA</span><span>&nbsp;is a&nbsp;</span><em>de novo</em><span>&nbsp;assembly program targeting populations with high mutation rates. It creates a single linear representation of the mixed population on which intra-host variants can be mapped. For clinical samples rich in contamination (e.g., &gt;95%), VICUNA can leverage existing genomes, if available, to assemble only target-alike reads. After initial assembly, it can also use existing genomes to perform guided merging of contigs. For each data set (e.g., Illumina paired read, 454), VICUNA outputs consensus sequence(s) and the corresponding multiple sequence alignment of constituent reads. VICUNA efficiently handles ultra-deep sequence data with tens of thousands fold coverage.</span></p>
<p><a href="http://software.broadinstitute.org/viral/docs/vicuna_v1.0.pdf">http://software.broadinstitute.org/viral/docs/vicuna_v1.0.pdf</a></p><p>Address of the bookmark: <a href="https://www.broadinstitute.org/viral-genomics/vicuna" rel="nofollow">https://www.broadinstitute.org/viral-genomics/vicuna</a></p>]]></description>
	<dc:creator>biogeek</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44529/contigextender-a-new-approach-to-improving-de-novo-sequence-assembly-for-viral-metagenomics-data</guid>
	<pubDate>Wed, 08 May 2024 07:32:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44529/contigextender-a-new-approach-to-improving-de-novo-sequence-assembly-for-viral-metagenomics-data</link>
	<title><![CDATA[ContigExtender: a new approach to improving de novo sequence assembly for viral metagenomics data]]></title>
	<description><![CDATA[<p dir="auto">ContigExtender, was developed to extend contigs, complementing de novo assembly. ContigExtender employs a novel recursive Overlap Layout Candidates (r-OLC) strategy that explores multiple extending paths to achieve longer and highly accurate contigs. ContigExtender is effective for extending contigs significantly in in silico synthesized and real metagenomics datasets.</p>
<p dir="auto">More at&nbsp;https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953547/</p>
<p dir="auto"><a href="https://camo.githubusercontent.com/72dc78177cd84dd0c667a2922a9fd984fb548b5ec94b11f9a547211a4adba3b1/68747470733a2f2f692e696d6775722e636f6d2f7734516944496a2e706e67" target="_blank"><img src="https://camo.githubusercontent.com/72dc78177cd84dd0c667a2922a9fd984fb548b5ec94b11f9a547211a4adba3b1/68747470733a2f2f692e696d6775722e636f6d2f7734516944496a2e706e67" alt="extension process" title="extension process" style="border: 0px;"></a></p><p>Address of the bookmark: <a href="https://github.com/dengzac/contig-extender" rel="nofollow">https://github.com/dengzac/contig-extender</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35041/seal-sequence-alignment-evaluation-suite</guid>
	<pubDate>Wed, 03 Jan 2018 05:05:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35041/seal-sequence-alignment-evaluation-suite</link>
	<title><![CDATA[Seal: SEquence ALignment evaluation suite]]></title>
	<description><![CDATA[<p><span>Seal</span>&nbsp;is a comprehensive sequencing simulation and alignment tool evaluation suite. This software (implemented in Java) provides several utilities that can be used to evaluate alignment algorithms, including:</p>
<ul>
<li>Reading a pre-existing reference genome from one or more FASTA files.</li>
<li>Alternatively, generating an artificial reference genome based on input parameters (length, repeat count, repeat length, repeat variability rate).</li>
<li>Simulating reads from random locations in the genome based on input parameters of read length, coverage, sequencing error rate, and indel rate.</li>
<li>Applying alignment tools to the genome and the reads through a standardized interface.</li>
<li>Parsing the output of the alignment tool and calculating the number of reads that were correctly or incorrectly mapped.</li>
<li>Computing run times and measures of accuracy.</li>
</ul>
<p><span>Seal</span>&nbsp;has interfaces to evaluate the following software packages:</p>
<ul>
<li>Bowtie</li>
<li>BWA</li>
<li>MAQ</li>
<li>mrFAST</li>
<li>mrsFAST</li>
<li>Novoalign</li>
<li>SHRiMP</li>
<li>SOAPv2</li>
</ul><p>Address of the bookmark: <a href="http://compbio.case.edu/seal/" rel="nofollow">http://compbio.case.edu/seal/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26363/flo</guid>
	<pubDate>Wed, 10 Feb 2016 10:52:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26363/flo</link>
	<title><![CDATA[flo]]></title>
	<description><![CDATA[<p>flo - same species annotations lift over pipeline</p>
<p>Lift over is the process of transferring annotations from one genome assembly to another. Usually lift over is done because there is a new, improved genome assembly for the species and good quality annotations (maybe manually curated or experimentally verified) are available on the old assembly.</p>
<p>The idea is simple: align the new assembly with the old one (e.g., with BLAT), process the alignment data to define how a coordinate or coordinate range on the old assembly should be transformed to the new assembly (e.g., as a chain file), transform the coordinates (e.g., with liftOver).</p>
<p>&nbsp;</p>
<p>https://github.com/wurmlab/flo</p><p>Address of the bookmark: <a href="https://github.com/wurmlab/flo" rel="nofollow">https://github.com/wurmlab/flo</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26382/project-assistant-jrf-at-north-eastern-hill-university</guid>
  <pubDate>Fri, 12 Feb 2016 09:23:01 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant/ JRF at North Eastern Hill University]]></title>
  <description><![CDATA[
<p>Project Assistant/ JRF</p>

<p>Eligibility : ME/M.Tech, Any Graduate, MSc</p>

<p>Location : Shillong</p>

<p>Last Date : 23 Feb 2016</p>

<p>Hiring Process : Face to Face Interview<br />North Eastern Hill University</p>

<p>Project Assistant/ JRF Jobs recruitment in North Eastern Hill University on temporary basis</p>

<p>Project Title : "Next Generation Sequencing (NGS)-based de novo assembly of expressed transcripts and genome information of Orchids in North-East India"</p>

<p>Project Assistant</p>

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

<p>Qualifications : Graduation</p>

<p>Desirable : Experience of working in a Life Science/Plant Biotechnology lab. and familiarity with computers and field work viz. collection of samples.</p>

<p>JRF</p>

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

<p>Qualifications : M.Tech/M.Sc in Life Sciences/Botany/Biotechnology/ Bioinformatics;</p>

<p>Desirable : Aptitude for Bioinformatics and Computer Programming/ Next generation sequencing data analysis<br />How to apply</p>

<p>The applications through email bicnehu@gmail.com or post must reach the Dr. Devendra Kumar Biswal, Co-Principal Investigator (Co-PI) within 15 days from the date of publication of this advertisement.</p>

<p>More at http://www.nehu.ac.in/Advertisements/projectVacancy.php</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26438/scientist-at-regional-medical-research-centre-icmr-rmrc-port-blair</guid>
  <pubDate>Mon, 22 Feb 2016 04:38:48 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist at Regional Medical Research Centre (ICMR), RMRC, Port Blair]]></title>
  <description><![CDATA[
<p>Scientist</p>

<p>Eligibility : MSc, M Phil / Phd, BE/B.Tech</p>

<p>Location : Delhi</p>

<p>Last Date : 08 Mar 2016</p>

<p>Hiring Process : Walk - In<br />Regional Medical Research Centre - </p>

<p>Notification Order No.1-51/Proj/RMRC/PB/</p>

<p>Scientist – II (Post Code: BIC-II) job position in Regional Medical Research Centre (ICMR)</p>

<p>Essential Qualification: 1 st class Master’s degree in Bioinformatics / Computational Biology.  B.E / B.Tech (Bioinformatics / Computer Science / Biotechnology) OR 2nd Class M.Sc. with Ph.D. in Bioinformatics / Computational Biology / Life Science.</p>

<p>Desirable Qualification:  Post-doctoral research experience in Bioinformatics / Computational Biology / Computer Science / Life Science at a recognized institution.  Experience in handling and analyzing sequencing data.  Experience in scripting languages (PERL/PYTHON) etc./ Statistical software.  Experience in developing research projects.</p>

<p>Number of Post: 1 UR</p>

<p>Place of Posting: RMRC, Port Blair </p>

<p>Age Limit: 40 years</p>

<p>Pay Scale : Rs.45,954<br />How to apply</p>

<p>Interested candidates are invited to submit applications along with copies of all the certificates of educational qualifications, date of birth, working experience etc . on the affixing a passport size photograph by Application Format to attend a walk-in interview on 8th March 2016 at 10:30 AM.</p>

<p>More at http://www.icmr.nic.in/icmrnews/port%20blair%20Bioinf%2003-2016.pdf</p>
]]></description>
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<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>
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