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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26925?offset=160</link>
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<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>
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<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/bookmarks/view/26525/ensembl-comparative-genomics-resources</guid>
	<pubDate>Sun, 28 Feb 2016 17:10:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26525/ensembl-comparative-genomics-resources</link>
	<title><![CDATA[Ensembl comparative genomics resources]]></title>
	<description><![CDATA[<div>
<p>The Ensembl comparative genomics resources are one such reference set that facilitates comprehensive and reproducible analysis of chordate genome data. Ensembl computes pairwise and multiple whole-genome alignments from which large-scale synteny, per-base conservation scores and constrained elements are obtained. Gene alignments are used to define Ensembl Protein Families, GeneTrees and homologies for both protein-coding and non-coding RNA genes. These resources are updated frequently and have a consistent informatics infrastructure and data presentation across all supported species. Specialized web-based visualizations are also available including synteny displays, collapsible gene tree plots, a gene family locator and different alignment views. The Ensembl comparative genomics infrastructure is extensively reused for the analysis of non-vertebrate species by other projects including Ensembl Genomes and Gramene and much of the information here is relevant to these projects. The consistency of the annotation across species and the focus on vertebrates makes Ensembl an ideal system to perform and support vertebrate comparative genomic analyses. We use robust software and pipelines to produce reference comparative data and make it freely available.</p>
<p><strong>Database URL:</strong> <a href="http://www.ensembl.org" target="pmc_ext">http://www.ensembl.org</a>.</p>
</div><p>Address of the bookmark: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761110/" rel="nofollow">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761110/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26537/destruct</guid>
	<pubDate>Mon, 29 Feb 2016 17:34:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26537/destruct</link>
	<title><![CDATA[destruct]]></title>
	<description><![CDATA[<p>Destruct is a tool for joint prediction of rearrangement breakpoints from single or multiple tumour samples.</p>
<p>More at&nbsp;https://bitbucket.org/dranew/destruct</p><p>Address of the bookmark: <a href="https://bitbucket.org/dranew/destruct" rel="nofollow">https://bitbucket.org/dranew/destruct</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</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/38008/quast-lg-versatile-genome-assembly-evaluation</guid>
	<pubDate>Thu, 25 Oct 2018 10:46:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38008/quast-lg-versatile-genome-assembly-evaluation</link>
	<title><![CDATA[QUAST-LG: Versatile genome assembly evaluation]]></title>
	<description><![CDATA[<p>QUAST-LG-a tool that compares large genomic de novo assemblies against reference sequences and computes relevant quality metrics. Since genomes generally cannot be reconstructed completely due to complex repeat patterns and low coverage regions, we introduce a concept of upper bound assembly for a given genome and set of reads, and compute theoretical limits on assembly correctness and completeness. Using QUAST-LG, we show how close the assemblies are to the theoretical optimum, and how far this optimum is from the finished reference.</p>
<h4>AVAILABILITY AND IMPLEMENTATION:</h4>
<p>http://cab.spbu.ru/software/quast-lg</p><p>Address of the bookmark: <a href="http://cab.spbu.ru/software/quast-lg/" rel="nofollow">http://cab.spbu.ru/software/quast-lg/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43850/merfin-improved-variant-filtering-assembly-evaluation-and-polishing-via-k-mer-validation</guid>
	<pubDate>Sun, 03 Apr 2022 20:35:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43850/merfin-improved-variant-filtering-assembly-evaluation-and-polishing-via-k-mer-validation</link>
	<title><![CDATA[Merfin: improved variant filtering, assembly evaluation and polishing via k-mer validation]]></title>
	<description><![CDATA[<p><span>Merfin, a&nbsp;</span><em>k</em><span>-mer based variant-filtering algorithm for improved accuracy in genotyping and genome assembly polishing. Merfin evaluates each variant based on the expected&nbsp;</span><em>k</em><span>-mer multiplicity in the reads, independently of the quality of the read alignment and variant caller&rsquo;s internal score. Merfin increased the precision of genotyped calls in several benchmarks, improved consensus accuracy and reduced frameshift errors when applied to human and nonhuman assemblies built from Pacific Biosciences HiFi and continuous long reads or Oxford Nanopore reads, including the first complete human genome. Moreover, we introduce assembly quality and completeness metrics that account for the expected genomic copy numbers.</span></p>
<p><span>More at&nbsp;https://www.nature.com/articles/s41592-022-01445-y</span></p>
<p><img src="https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41592-022-01445-y/MediaObjects/41592_2022_1445_Fig1_HTML.png" alt="image" style="border: 0px; border: 0px;"></p><p>Address of the bookmark: <a href="https://github.com/arangrhie/merfin" rel="nofollow">https://github.com/arangrhie/merfin</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26906/paired-end-assembler-for-dna-sequences</guid>
	<pubDate>Wed, 06 Apr 2016 05:25:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26906/paired-end-assembler-for-dna-sequences</link>
	<title><![CDATA[PAired-eND Assembler for DNA sequences]]></title>
	<description><![CDATA[<p>PANDASEQ is a program to align Illumina reads, optionally with PCR primers embedded in the sequence, and reconstruct an overlapping sequence.</p>
<p>&nbsp;</p>
<p>More at https://github.com/neufeld/pandaseq</p><p>Address of the bookmark: <a href="https://github.com/neufeld/pandaseq" rel="nofollow">https://github.com/neufeld/pandaseq</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26999/discovar</guid>
	<pubDate>Mon, 18 Apr 2016 11:59:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26999/discovar</link>
	<title><![CDATA[DISCOVAR]]></title>
	<description><![CDATA[<p><strong>DISCOVAR</strong> is a new variant caller and <strong>DISCOVAR <em>de novo</em></strong> a new genome assembler, both designed for state-of-the-art data. Their inputs are chosen to optimize quality while keeping costs low. Currently it takes as input Illumina reads of length 250 or longer &mdash; produced on MiSeq or HiSeq 2500 &mdash; and from a single PCR-free library. These data enable a level of completeness and continuity that was not previously possible.</p>
<p><strong>DISCOVAR</strong> can call variants on a region by region basis, potentially tiling an entire large genome. DISCOVAR variant calling is under active development and transitioning to VCF.</p>
<p><strong>DISCOVAR <em>de novo</em></strong> can generate <em>de novo</em> assemblies for both large and small genomes. It currently does not call variants.</p>
<p>More at https://www.broadinstitute.org/software/discovar/blog/?page_id=14</p><p>Address of the bookmark: <a href="https://www.broadinstitute.org/software/discovar/blog/" rel="nofollow">https://www.broadinstitute.org/software/discovar/blog/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>

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