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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27344?offset=810</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27438/hagfish-assess-an-assembly-through-creative-use-of-coverage-plots</guid>
	<pubDate>Fri, 20 May 2016 19:08:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27438/hagfish-assess-an-assembly-through-creative-use-of-coverage-plots</link>
	<title><![CDATA[Hagfish - assess an assembly through creative use of coverage plots]]></title>
	<description><![CDATA[<p>Hagfish is a tool that is to be used in data analysis of Next Generation Sequencing (NGS) experiments. Hagfish builds on the concept of coverage plots and aims to assist (amongst others) in quality control of&nbsp;<em style="font-size: 12.8px;">de novo</em>&nbsp;genome assembly or identification of structural variation in a genome re-sequencing experiment.</p>
<p>Hagfish requires a reference sequence and a&nbsp;<span>paired end</span>&nbsp;re-sequencing data set. Hagfish has more power the larger the insert size of the paired end library is.</p>
<p>Quick links:&nbsp;<a href="https://github.com/mfiers/hagfish/wiki/Install">Installation</a>,<a href="https://github.com/mfiers/hagfish/wiki/Operation">Operation</a>,&nbsp;<a href="https://github.com/mfiers/hagfish/wiki/ReadMappers">Read mappers</a>,&nbsp;<a href="https://github.com/mfiers/hagfish/wiki/Scripts">Hagfish scripts</a>,&nbsp;<a href="https://github.com/mfiers/hagfish/wiki/Plots">Hagfish plots</a></p><p>Address of the bookmark: <a href="https://github.com/mfiers/hagfish" rel="nofollow">https://github.com/mfiers/hagfish</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27440/stampy</guid>
	<pubDate>Fri, 20 May 2016 19:13:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27440/stampy</link>
	<title><![CDATA[Stampy]]></title>
	<description><![CDATA[<p><strong>Stampy&nbsp;</strong><span>is a package for the mapping of short reads from illumina sequencing machines onto a reference genome. It's recommended for most workflows, including those for genomic resequencing, RNA-Seq and Chip-seq. Stampy excels in the mapping of reads containing that contain sequence variation relative to the reference, in particular for those containing insertions or deletions.</span></p><p>Address of the bookmark: <a href="http://www.well.ox.ac.uk/project-stampy" rel="nofollow">http://www.well.ox.ac.uk/project-stampy</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27461/maftools</guid>
	<pubDate>Sat, 21 May 2016 22:40:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27461/maftools</link>
	<title><![CDATA[mafTools]]></title>
	<description><![CDATA[<p><span>Bioinformatics tools for dealing with Multiple Alignment Format (MAF) files.</span></p><p>Address of the bookmark: <a href="https://github.com/dentearl/mafTools" rel="nofollow">https://github.com/dentearl/mafTools</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27473/project-assistantjunior-research-fellow-position-at-centre-of-biomedical-research-sanjay-gandhi-postgraduate-institute-of-medical-sciences-campus-lucknow</guid>
  <pubDate>Mon, 23 May 2016 01:31:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant/Junior Research Fellow Position at  Centre of Biomedical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow.]]></title>
  <description><![CDATA[
<p>Applications are invited from eligible candidates willing to join in a Department of Science and Technology (DST) project entitled “"Mapping neural regions involved in reading process in skilled adult Deaf reader: From neuroimaging perspective (functional Magnetic Resonance Imaging (fMRI) and Diffuse Tensor Imaging (DTI.)" as a Project Assistant/Junior Research Fellow (JRF) at Centre of Biomedical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences Campus, Lucknow.</p>

<p>Essential Qualification:</p>

<p>1. Master's degree in Bioinformatics / Computer Applications / Cognitive Science /Neuroscience/ Neuropsychology or equivalent. (Advantage will be given to NET JRF qualified candidate) Additional</p>

<p>Desirable Skills:</p>

<p>1) Programming skills (e.g., C++, Matlab, Python) 2) Experience/competent in working Window and Linux based programme.</p>

<p>Please mail your CV and covering letter to dr.uttam.kumar@gmail.com.</p>

<p>To know more about lab works please visit http://uttambrainlab.co.in/lab/.</p>

<p>Last date: 15/06/16</p>

<p>Advertisement: http://cbmr.res.in/wp-content/uploads/2016/05/Advertisement-19-5-2016.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27554/jrf-bioinformatics-at-actrec-navi-mumbai</guid>
  <pubDate>Mon, 30 May 2016 03:24:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at ACTREC, Navi Mumbai]]></title>
  <description><![CDATA[
<p>No. ACTREC/Advt./23/2016<br />JRF Bioinformatics recruitment in ACTREC (On contract Basis- Primeone Workforce Pvt. Ltd.)<br />Title : “Investigating the molecular basis of CaM/c-FLIP interaction to design specific c-FLIP inhibitor for modulating its anti-apoptotic function”.<br />Qualification : Master’s degree in bioinformatics, biochemistry, biotechnology and biological sciences from a recognized university with not less than 55% aggregate marks. Experience: Prior experience in modelling, protein-protein/ligand docking, Molecular dynamics simulation required. Knowledge in database development will be preferred.   </p>

<p>Pay Scale : Rs. 32,500/- <br />How to apply<br />Candidates fulfilling these requirements should pre-register by sending their application in the prescribed format with recent CV and contact details of 2 referees by e-mail to  ‘program.office@actrec.gov.in’ latest by  17.00 hrs on 23-06-2016. The interviews would be held on 27-06-2016 and only pre-registered candidates will be eligible to appear for interview. Candidates should report between 09.30 to 10.00 a.m. in Steno Pool,  3rd floor, Khanolkar Shodhika, ACTREC, Kharghar, Navi Mumbai.</p>

<p>More at http://www.actrec.gov.in/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/27695/the-kingsley-lab</guid>
  <pubDate>Fri, 03 Jun 2016 09:55:10 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Kingsley Lab]]></title>
  <description><![CDATA[
<p>The Molecular Basis of Vertebrate Evolution. Naturally occurring species show spectacular differences in morphology, physiology, behavior, disease susceptibility, and life span. Although the genomes of many organisms have now been completely sequenced, Kingsley lab still know relatively little about the specific DNA sequence changes that underlie interesting species-specific traits. Kingsley lab laboratory is using a combination of genetic and genomic approaches to identify the detailed molecular mechanisms that control evolutionary change in vertebrates.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27821/blobsplorer</guid>
	<pubDate>Tue, 14 Jun 2016 10:28:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27821/blobsplorer</link>
	<title><![CDATA[Blobsplorer]]></title>
	<description><![CDATA[<p>Blobsplorer is a tool for interactive visualization of assembled DNA sequence data ("contigs") derived from (often unintentionally) mixed-species pools. It allows the simultaneous display of GC content, coverage, and taxonomic annotation for collections of contigs with a view to separating out those belonging to different taxa.</p>
<p>Blobsplorer is unlikely to be of use on its own as it requires contig data to be supplied in a format that involves considerable preprocessing (see below for a description). The easiest way to use Blobsplorer is as part of a workflow using scripts from <a href="https://github.com/blaxterlab/blobology">here</a>.</p><p>Address of the bookmark: <a href="http://nematodes.org/martin/blobsplorer/blobsplorer.html" rel="nofollow">http://nematodes.org/martin/blobsplorer/blobsplorer.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27845/cnidaria-fast-reference-free-phylogenomic-clustering</guid>
	<pubDate>Thu, 16 Jun 2016 17:55:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27845/cnidaria-fast-reference-free-phylogenomic-clustering</link>
	<title><![CDATA[CNIDARIA: fast, reference-free phylogenomic clustering]]></title>
	<description><![CDATA[<p>Motivation: Identification of biological specimens is a major requirement for a range of applications. Reference-free methods analyse unprocessed sequencing data without relying on prior knowledge, but these do not scale to arbitrarily large genomes and arbitrarily large phylogenetic distances.</p>
<p>Results: We present Cnidaria, a practical tool for clustering genomic and transcriptomic data with no limitation on ge-nome size or phylogenetic distances. We successfully simultaneously clustered 169 genomic and transcriptomic datasets from 4 kingdoms, achieving 100% accuracy at supra-species level and 78% accuracy for species level.</p>
<p>Availability and Implementation: Cnidaria is written in C++ and Python and is available at http://www.ab.wur.nl/cnidaria.</p>
<p>Contact: Saulo Aflitos - sauloal@gmail.com</p>
<p>Supplementary information: Supplementary data are available at Bioinformatics online.</p><p>Address of the bookmark: <a href="https://github.com/sauloal/cnidaria/wiki" rel="nofollow">https://github.com/sauloal/cnidaria/wiki</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28164/greengenes-database</guid>
	<pubDate>Wed, 29 Jun 2016 10:03:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28164/greengenes-database</link>
	<title><![CDATA[Greengenes database]]></title>
	<description><![CDATA[<p>The greengenes web application provides access to the 2011 version of the greengenes 16S rRNA gene sequence alignment for browsing, blasting, probing, and downloading. The data and tools presented by greengenes can assist the researcher in choosing phylogenetically specific probes, interpreting microarray results, and aligning/annotating novel sequences. If you are an ARB user, you can use greengenes to keep your own local database current.</p><p>Address of the bookmark: <a href="http://greengenes.lbl.gov/cgi-bin/nph-index.cgi" rel="nofollow">http://greengenes.lbl.gov/cgi-bin/nph-index.cgi</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27945/srf-project-assistant-bioinformatics-at-nirrh</guid>
  <pubDate>Sun, 19 Jun 2016 09:11:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF/ Project Assistant Bioinformatics at NIRRH]]></title>
  <description><![CDATA[
<p>SRF/ Project Assistant Bioinformatics recruitment in National Institute for Research in Reproductive Health (NIRRH)</p>

<p>Title of Project : 1. “Analysis Of The Structures Of Known Antimicrobial Peptides Using Machine Learning Algoitms And Molecular Dynamics Simulations”</p>

<p>Senior Research Fellow /1 Post</p>

<p>Qualification: First class M.Sc. in Bioinformatics/ Biological Sciences from recognized university with 2 years research experience and CSIR/UGC/ICMR net qualified OR First class M.Sc. in Bioinformatics/ Biological Sciences from recognized university with 2 years research experience Research experience in bioinformatics and wetlab methods. </p>

<p>Age: Not exceeding 35 Years</p>

<p>Pay Scale : Rs.18,000/- + 30% HRA Rs.14,000/- + 30% HRA </p>

<p>Project Assistant (Level-II) /1 Post</p>

<p>Qualification:  First class M.Sc. in Bioinformatics/ Biological Sciences/Computer Sciences Training experience in bioinformatics and wetlab methods .</p>

<p>Age: Not exceeding 28 Years </p>

<p>Pay Scale : Rs.8,000<br />How to apply<br />Candidates must bring along with them all the relevant documents in original and one set of attested photocopies of the same and one passport size recent colour photograph. </p>

<p>Walk-in-Interview on 28.06.2016 between 09:00 hrs. to 12:00 hrs.</p>

<p>More at http://www.nirrh.res.in/links/job_oppotunities.htm</p>
]]></description>
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