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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/14011?offset=830</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28121/kaiju</guid>
	<pubDate>Mon, 27 Jun 2016 11:23:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28121/kaiju</link>
	<title><![CDATA[Kaiju]]></title>
	<description><![CDATA[<p>Kaiju is a program for the taxonomic classification of metagenomic high-throughput sequencing reads. Each read is directly assigned to a taxon within the NCBI taxonomy by comparing it to a reference database containing microbial and viral protein sequences.</p>
<p>By default, Kaiju uses either the available complete genomes from NCBI RefSeq or the microbial subset of the non-redundant protein database <em>nr</em> used by NCBI BLAST, optionally also including fungi and microbial eukaryotes.</p>
<p>Kaiju translates reads into amino acid sequences, which are then searched in the database using a modified backward search on a memory-efficient implementation of the Burrows-Wheeler transform, which finds maximum exact matches (MEMs), optionally allowing mismatches in the protein alignment. The search can process up to millions of reads per minute using, for example, only 10 GB RAM with a protein database comprising 4821 microbial genomes. Kaiju can also be used for querying any other protein database without taxonomic classification, using either protein or nucleotide queries.</p>
<p>Kaiju is described in <a href="http://www.nature.com/ncomms/2016/160413/ncomms11257/full/ncomms11257.html">Menzel, P. et al. (2016) Fast and sensitive taxonomic classification for metagenomics with Kaiju. <em>Nat. Commun.</em> 7:11257</a> (open access).</p><p>Address of the bookmark: <a href="http://kaiju.binf.ku.dk/" rel="nofollow">http://kaiju.binf.ku.dk/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28272/bioinformatics-openings-at-icgeb-new-delhi-india</guid>
  <pubDate>Mon, 04 Jul 2016 01:04:05 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics openings at ICGEB NEW DELHI, INDIA]]></title>
  <description><![CDATA[
<p>Applications are invited for:</p>

<p>ICGEB NEW DELHI, INDIA</p>

<p>Biotechnology research positions</p>

<p>Projects include:</p>

<p>a) protein structure determination<br />b) malaria parasite biology<br />c) genomics and metagenomics<br />d) molecular and cellular biology<br />e) bioinformatics and computational biology</p>

<p>Minimum eligibility for students who have already obtained a MSc:</p>

<p>1) INSPIRE award for PhD<br />2) SPM award for PhD<br />3) CSIR/DBT/DST JRF for PhD</p>

<p>Applicants should submit their curriculum vitae by email to: sb.icgeb@gmail.com by 30 August 2016</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28415/scarpa</guid>
	<pubDate>Wed, 13 Jul 2016 07:59:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28415/scarpa</link>
	<title><![CDATA[Scarpa]]></title>
	<description><![CDATA[<p><strong>Scarpa</strong>&nbsp;is a stand-alone scaffolding tool for NGS data. It can be used together with virtually any genome assembler and any NGS read mapper that supports SAM format. Other features include support for multiple libraries and an option to estimate insert size distributions from data. Scarpa is available free of charge for academic and commercial use under the GNU General Public License (GPL).</p>
<p>See the&nbsp;<a href="http://compbio.cs.toronto.edu/hapsembler/hapsembler-2.21_manual.pdf">user manual</a>&nbsp;or the&nbsp;<a href="http://compbio.cs.toronto.edu/hapsembler/scarpa_paper.pdf">paper</a>&nbsp;for more information about Scarpa. Click&nbsp;<a href="http://compbio.cs.toronto.edu/hapsembler/ScarpaSupplementary.pdf">here</a>&nbsp;for the supplementary material.</p><p>Address of the bookmark: <a href="http://compbio.cs.toronto.edu/hapsembler/scarpa.html" rel="nofollow">http://compbio.cs.toronto.edu/hapsembler/scarpa.html</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/28449/aravind-j-shankar-gets-all-india-rank-1-in-binc-2016</guid>
	<pubDate>Tue, 19 Jul 2016 05:19:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/28449/aravind-j-shankar-gets-all-india-rank-1-in-binc-2016</link>
	<title><![CDATA[Aravind J Shankar gets all India rank 1 in BINC, 2016]]></title>
	<description><![CDATA[<p>Aravind J Shankar, a bioinformatics graduate of SASTRA University, has secured the all India rank 1 in the Bioinformatics National Certification (BINC) 2016, organised by the Department of Biotechnology, Government of India.</p><p>The BINC is a nationwide examination aimed at certifying professionals in bioinformatics and tests their theoretical and practical knowledge across three phases of examination. He is entitled to receive a DBT research fellowship leading to a Ph.D. from any premier research institute in India.</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/28563/find-predicted-crispr-sites-using-ensembl</guid>
	<pubDate>Wed, 27 Jul 2016 03:15:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/28563/find-predicted-crispr-sites-using-ensembl</link>
	<title><![CDATA[Find predicted CRISPR sites using Ensembl]]></title>
	<description><![CDATA[<p>Did you know that you can now use Ensembl to help design your CRISPR experiments? Just turn on the brand new track that shows you the CRISPR sites that have been predicted by the WGE group (<a href="http://www.sanger.ac.uk/science/tools/wge" target="_blank">http://www.sanger.ac.uk/science/tools/wge</a>)</p><p><img src="http://www.ensembl.info/wp-content/uploads/2016/07/Screen-Shot-2016-07-22-at-13.04.33.png" width="1400" height="544" alt="image" style="border: 0px;"></p><p>Find out more on our blog:<br /><a href="http://www.ensembl.info/blog/2016/07/26/find-predicted-crispr-sites-using-ensembl/" target="_blank">http://www.ensembl.info/&hellip;/find-predicted-crispr-sites-usin&hellip;/</a></p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28818/senior-manager-bioinformatics-operations-at-rgcb-india</guid>
  <pubDate>Wed, 17 Aug 2016 03:19:05 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Manager (Bioinformatics Operations) at RGCB, India]]></title>
  <description><![CDATA[
<p>No. RGCB/ADVT/ADMN&amp;TECH/01/2016</p>

<p>August 17, 2016</p>

<p>RGCB invites applications for the following positions from Indian citizens with prescribed qualifications. Full details including job description, additional desirable qualifications, etc. are described below.</p>

<p>Code No. 1</p>

<p>Senior Manager (Bioinformatics Operations)</p>

<p>(To download application format, click here )</p>

<p>Scale of Pay</p>

<p>PB-3 Rs.15600-39100 + Grade Pay Rs.6600/-</p>

<p>Number of Positions</p>

<p>1 (General)</p>

<p>Minimum Qualifications</p>

<p>PhD in Bioinformatics, Biotechnology, Life Sciences or Computer Science applied to biological questions.<br />A minimum of 5 years documented experience in national or state government R&amp;D centers or state and central universities.<br />Track record of research funding and peer reviewed publications.<br />Proficiency using statistical analysis software or libraries such as R or Matlab.<br />Experience with a general scripting language such as Python, Ruby, or Pearl<br />Experience working with Next Generation Sequencing data<br />Proficiency with data visualization tools (Spotfire, Tableau, R, Python, etc.)<br />Experience with an object-oriented language such as Java, C++ or C# and familiarity with standard software development best practices: source code control, unit testing, in-code documentation and automated build environments.<br />Excellent listening, time management, organizational and interpersonal skills<br />Excellent communication skills, including the ability to illustrate problems and generate solutions<br />Management skills – demonstrated through the successful management of a team or large projects.<br />Broad and deep knowledge of computational methods for high-throughput sequence analysis and interpretation.<br />Extensive experience in delivering bioinformatics as a service and conducting training programs.<br />Experience of working with a production, customer-focused environment and business development projects.<br />Experience with management of funding and financial sustainability.<br />Demonstrated ability to work in a team environment and ability to lead and motivate an effective team, and also work as a good team player.<br />Good problem solver, able to logically identify solutions to technical problems.<br />Able to see the bigger picture and contribute towards strategic direction of Platforms and Pipelines teams.<br />Responsibilities</p>

<p>This position will involve cross-functional teamwork to build and develop bioinformatics tools and provide analysis for ongoing clinical trials.<br />Collaborate with biomarker scientists, clinical investigators and pipeline teams to build analytical tools.<br />Implement and evaluate new algorithms for R&amp;D.<br />Support Research and Development teams by analyzing NGS data to identify predictive response markers<br />Lead training programs in Computational Biology and Bioinformatics.</p>

<p>More at http://rgcb.res.in/positions.php</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28926/scientist-at-advanced-centre-for-treatment-research-and-education-in-cancer-navi-mumbai-maharashtra</guid>
  <pubDate>Tue, 30 Aug 2016 04:16:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Scientist at Advanced Centre for Treatment, Research and Education in Cancer - Navi Mumbai, Maharashtra]]></title>
  <description><![CDATA[
<p>Scientist <br />Advanced Centre for Treatment, Research and Education in Cancer - Navi Mumbai, Maharashtra<br />Scientist (One position) <br />Project: Bioinformatics centre DBT- Sub-DIC at ACTREC <br />Funding agency: DBT Grant No.232 </p>

<p>Duration of the Project: Six Months from the date of appointment can be extended further for six months <br />Essential Qualification and Experience: 1st Class Masters Degree in Bioinformatics or Life Sciences equivalent degree from a recognized University with 4 years R&amp;D experience in Bioinformatics or relevant subjects from recognized institutes. <br />OR <br />Ph.D. degree in Bioinformatics or Life Sciences from recognized University. <br />M.Sc. degree obtained after a one year course will not be considered. <br />Experience: Research/teaching experience in Bioinformatics or relevant subjects form recognized Institute(s). </p>

<p>More at http://www.actrec.gov.in/data%20files/Vacancies/2016/AV-scin-stud-trainee-6-Sept-16.docx</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29217/bioinformatics-openings-at-sri-venkateswara-college-university-of-delhi</guid>
  <pubDate>Tue, 20 Sep 2016 05:43:24 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics openings at Sri Venkateswara College, University of Delhi]]></title>
  <description><![CDATA[
<p>Bioinformatics center</p>

<p>Sri Venkateswara College (University of Delhi)</p>

<p>New Delhi- 110021</p>

<p>1. Junior Research Fellow (1 Post)</p>

<p>Applications are invited for the post of Junior Research Fellow (JRF) under DST funded project which is purely temporary and is strictly for project duration only.</p>

<p>Title of project</p>

<p>No. of post</p>

<p>Remuneration (Rs.)</p>

<p>“Computational assisted Design and Synthesis of Novel Antimalarial Agents Embodying Structural Diversity Suitable for Protease Inhibitors”</p>

<p>(One)</p>

<p>Fellowship and HRA as per DST guidelines</p>

<p>Qualification</p>

<p>Post Graduate Degree in Basic Science (M.Sc./M.Tech in Bioinformatics/Biophysics) from a recognized University in India or abroad with at least 55% marks with NET qualification or Graduate Degree in Professional Course with NET Qualification or Post Graduate Degree in Professional Course.</p>

<p>Desirable</p>

<p>Fair knowledge of Computer Aided Drug Designing (CADD), Protein Structure modeling, molecular docking, and simulations are preferable.</p>

<p>2. Traineeship (1 Post)</p>

<p>Applications are invited for the position of traineeship in DBT-BTISnet funded Bioinformatics Infrastructure Facility (BIF) to carry out project work in the area of Bioinformatics.</p>

<p>Qualification</p>

<p>Applicant should be possess PG degree/PG diploma in Bioinformatics for traineeship. The traineeship is awarded for a period of six months from the date of joining and is not extendable. The selected candidates are entitled to receive a stipend of Rs. 8000/- per month (consolidate) for a period of 6 months.</p>

<p>=====================================================================</p>

<p>3. Studentship (1 Post)</p>

<p>Applications are invited for the position of Studentship in DBT-BTISnet funded Bioinformatics Infrastructure Facility (BIF) to carry out project work in the area of Bioinformatics.</p>

<p>Qualification</p>

<p>Candidates pursuing the Final Year of Post Graduate Degree in Basic Science (M.Sc.) or Post Graduate/ Graduate Degree in Professional Course (M.Tech/B.Tech) in Bioinformatics from a recognized University in India or abroad. The selected candidates are entitled to receive a stipend of Rs. 8000/- per month (consolidate) for a period of 6 months.</p>

<p>How to Apply?</p>

<p>Applicants are required to send applications on plain paper, stating the name, address, date of birth, educational qualification, experience and Institute, along with attested photocopies of mark sheets and certificates etc. by September 20, 2016 to:</p>

<p>The Coordinator</p>

<p>Bioinformatics Center, Sri Venkateswara College</p>

<p>Benito Juarez Road, Dhaula Kuan, New Delhi- 110021</p>

<p>Applications may also be sent by email to contact@bic-svc.ac.in. Strictly mention "Application for JRF, Traineeship or Studentship" in the subject line as the case may be.</p>

<p>Short listed candidates will be called for an interview. Canvassing in any form will be a disqualification. No TA/DA will be paid either for attending the interview or joining the post.</p>

<p>For more details visit our lab webpage: http://www.bic-svc.ac.in</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29614/art-set-of-simulation-tools</guid>
	<pubDate>Thu, 03 Nov 2016 08:28:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29614/art-set-of-simulation-tools</link>
	<title><![CDATA[ART: Set of Simulation Tools]]></title>
	<description><![CDATA[<p>ART is a set of simulation tools to generate synthetic next-generation sequencing reads. ART simulates sequencing reads by mimicking real sequencing process with empirical error models or quality profiles summarized from large recalibrated sequencing data. ART can also simulate reads using user own read error model or quality profiles. ART supports simulation of single-end, paired-end/mate-pair reads of three major commercial next-generation sequencing platforms: Illumina's Solexa, Roche's 454 and Applied Biosystems' SOLiD. ART can be used to test or benchmark a variety of method or tools for next-generation sequencing data analysis, including read alignment, de novo assembly, SNP and structure variation discovery. ART was used as a primary tool for the simulation study of the <span><a href="http://www.1000genomes.org/" target="_blank">1000 Genomes Project<span></span></a></span> . ART is implemented in C++ with optimized algorithms and is highly efficient in read simulation. ART outputs reads in the FASTQ format, and alignments in the ALN format. ART can also generate alignments in the SAM alignment or UCSC BED file format. ART can be used together with genome variants simulators (e.g. <span><a href="http://bioinform.github.io/varsim/" target="_blank">VarSim<span></span></a></span>) for evaluating variant calling tools or methods.</p><p>Address of the bookmark: <a href="http://www.niehs.nih.gov/research/resources/software/biostatistics/art/" rel="nofollow">http://www.niehs.nih.gov/research/resources/software/biostatistics/art/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29635/r-graphs</guid>
	<pubDate>Fri, 04 Nov 2016 10:48:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29635/r-graphs</link>
	<title><![CDATA[R Graphs !!]]></title>
	<description><![CDATA[<p><span>The blog is a collection of script examples with example data and output plots. R produce excellent quality graphs for data analysis, science and business presentation, publications and other purposes. Self-help codes and examples are provided. Enjoy nice graphs !!</span></p><p>Address of the bookmark: <a href="http://rgraphgallery.blogspot.be/" rel="nofollow">http://rgraphgallery.blogspot.be/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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