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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29656?offset=220</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27479/biogps</guid>
	<pubDate>Mon, 23 May 2016 03:15:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27479/biogps</link>
	<title><![CDATA[BioGPS]]></title>
	<description><![CDATA[<p>A free&nbsp;<em>extensible</em>&nbsp;and&nbsp;<em>customizable</em>&nbsp;<strong>gene annotation portal</strong>, a complete resource for learning about&nbsp;<strong>gene and protein function</strong>.</p>
<p>http://biogps.org/#goto=welcome</p><p>Address of the bookmark: <a href="http://biogps.org/#goto=welcome" rel="nofollow">http://biogps.org/#goto=welcome</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27679/cluego</guid>
	<pubDate>Thu, 02 Jun 2016 09:51:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27679/cluego</link>
	<title><![CDATA[ClueGO]]></title>
	<description><![CDATA[<p>ClueGO is a Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network and it can be used in combination with GOlorize.</p><p>Address of the bookmark: <a href="http://www.ici.upmc.fr/cluego/" rel="nofollow">http://www.ici.upmc.fr/cluego/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27701/assistant-professor-bioinformatics-teaching-assistant-at-gujarat-university</guid>
  <pubDate>Sat, 04 Jun 2016 16:04:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor Bioinformatics / Teaching Assistant at Gujarat University]]></title>
  <description><![CDATA[
<p>Assistant Professor Bioinformatics / Teaching Assistant Jobs recruitment in Gujarat University<br />Departments :</p>

<p>M.Sc. Bioinformatics Climate Change and Impacts Management<br />M.Sc. Biotechnology and Clinical Research</p>

<p>Department of Computer Science (Rollwala Computer Centre)<br />Appointment will be on purely contract basis for 11 months on consolidated salary. Reservation as per rules<br /> <br />How to apply<br />All the candidate are here by required to fill up the application form and given to concern Department, Gujarat University, Ahmedabad (Form can be submitted personally or thorough post/courier.) Candidates are supposed to attach the self attested photocopies of their required testimonials along with application form. Last date of receipt of application is 10/06/2016.</p>

<p>More http://www.gujaratuniversity.org.in/web/NWD/NewsEvents/1700_Recruitments%20at%20Gujarat%20University.asp</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27806/blobology</guid>
	<pubDate>Mon, 13 Jun 2016 10:18:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27806/blobology</link>
	<title><![CDATA[Blobology]]></title>
	<description><![CDATA[<p><span>Tools for making blobplots or Taxon-Annotated-GC-Coverage plots (TAGC plots) to visualise the contents of genome assembly data sets as a QC step</span></p>
<p>Blaxter Lab, Institute of Evolutionary Biology, University of Edinburgh</p>
<p><span>Goal</span>: To create blobplots or Taxon-Annotated-GC-Coverage plots (TAGC plots) to visualise the contents of genome assembly data sets as a QC step.</p>
<p>This repository accompanies the paper:<br><span>Blobology: exploring raw genome data for contaminants, symbionts and parasites using taxon-annotated GC-coverage plots.</span>&nbsp;<em>Sujai Kumar, Martin Jones, Georgios Koutsovoulos, Michael Clarke, Mark Blaxter</em><br>(submitted 2013-10-01 to&nbsp;<em>Frontiers in Bioinformatics and Computational Biology special issue : Quality assessment and control of high-throughput sequencing data</em>).</p>
<p>It contains bash/perl/R scripts for running the analysis presented in the paper to create a preliminary assembly, and to create and collate GC content, read coverage and taxon annotation for the preliminary assembly, which can be visualised, such as Figure 2a from the paper showing TAGC plots/blobplots for&nbsp;<em>Caenorhabditis</em>&nbsp;sp. 5:&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/blaxterlab/blobology" rel="nofollow">https://github.com/blaxterlab/blobology</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27839/lorma-a-tool-for-correcting-sequencing-errors-in-long-reads-such-those-produced-by-pacific-biosciences-sequencing-machines</guid>
	<pubDate>Wed, 15 Jun 2016 17:18:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27839/lorma-a-tool-for-correcting-sequencing-errors-in-long-reads-such-those-produced-by-pacific-biosciences-sequencing-machines</link>
	<title><![CDATA[LoRMA: a tool for correcting sequencing errors in long reads such those produced by Pacific Biosciences sequencing machines]]></title>
	<description><![CDATA[<p>LoRMA is a tool for correcting sequencing errors in long reads such those produced by Pacific Biosciences sequencing machines.</p>
<p>Publication:</p>
<ul>
<li>L. Salmela, R. Walve, E. Rivals, and E. Ukkonen: Accurate selfcorrection of errors in long reads using de Bruijn graphs. Accepted to RECOMB-Seq 2016.</li>
</ul>
<p>Download:</p>
<ul>
<li><a href="https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/LoRMA-0.3.tar.gz">LoRMA 0.3 source files</a></li>
<li><a href="https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/README.txt">README</a></li>
</ul><p>Address of the bookmark: <a href="https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/" rel="nofollow">https://www.cs.helsinki.fi/u/lmsalmel/LoRMA/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28879/projects-opening-at-nbagr</guid>
  <pubDate>Wed, 24 Aug 2016 04:13:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Projects opening at NBAGR]]></title>
  <description><![CDATA[
<p>ICAR - NATIONAL BUREAU OF ANIMAL GENETIC RESOURCES</p>

<p>Karnal -132001 (Haryana)</p>

<p>A walk-in-Interview is proposed to be held at National Bureau of Animal Genetic Resources, Karnal (Haryana)-132001 at 10:30 AM on 05.09.2016 for the selection of Three Research Associate &amp; One Young Professional - II as per details given below:</p>

<p>Name of the Scheme / Project: Center for Agricultural Bioinformatics. The post duration is Upto 31.032017 or earlier &amp; Co-terminus with the project.</p>

<p>Research Associate (Three posts)</p>

<p>Date &amp; Time of Interview: 10.30 A.M. on 05.09.2016</p>

<p>Essential Qualifications: PhD degree in any one of discipline/Subject Biotechnology/ Animal Genetics and Breeding/ Biochemistry/ Bioinformatics/Molecular Genetics OR Master’s degree in any one of above mentioned discipline/Subject with 4 years/5 years of Bachelor’s degree having 1st division or 60% marks or equivalent overall grade point average, with at least two years of research experience as evidenced from Fellowship/Associateship</p>

<p>Desirable Qualifications: Experience in Database/Next Generation Sequencing Data analysis for 02 RA posts or working experience in molecular biology, gene expression data analysis, SNP genotyping and sequence data analysis, functional gene characterization for 01 RA post.</p>

<p>Young Professionals II One position</p>

<p>Date &amp; Time of Interview: 10.30 A.M. on 05.09.2016</p>

<p>Essential: B. Tech or M.Tech. in Bioinformatics / Computer Science / Computer Application.</p>

<p>Desirable: Experience in Linux, MySQL, Java, C++/ PHP/ PERL R based data analysis and application development in Bioinformatics.</p>

<p>More Info : http://14.139.252.116/ADvertisementforCabinScheme.pdf</p>
]]></description>
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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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27971/samtools-primer</guid>
	<pubDate>Thu, 23 Jun 2016 07:18:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27971/samtools-primer</link>
	<title><![CDATA[Samtools Primer !!]]></title>
	<description><![CDATA[<p>SAMtools: Primer / Tutorial by Ethan Cerami, Ph.D.<br><br>keywords: samtools, next-gen, next-generation, sequencing, bowtie, sam, bam, primer, tutorial, how-to, introduction<br>Revisions<br><br>&nbsp;&nbsp;&nbsp; 1.0: May 30, 2013: First public release on biobits.org.<br>&nbsp;&nbsp;&nbsp; 1.1: July 24, 2013: Updated with Disqus Comments / Feedback section.<br>&nbsp;&nbsp;&nbsp; 1.2: December 19, 2014: Multiple updates, including:<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Updated to use samtools 1.1 and bcftools 1.2.<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Updated usage for bcftools.<br><br>About<br><br>SAMtools is a popular open-source tool used in next-generation sequence analysis. This primer provides an introduction to SAMtools, and is geared towards those new to next-generation sequence analysis. The primer is also designed to be self-contained and hands-on, meaning that you only need to install SAMtools, and no other tools, and sample data sets are provided. Terms in bold are also explained in the glossary at the end of the document.</p><p>Address of the bookmark: <a href="http://biobits.org/samtools_primer.html" rel="nofollow">http://biobits.org/samtools_primer.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28119/kraken-ultrafast-metagenomic-sequence-classification-using-exact-alignments</guid>
	<pubDate>Mon, 27 Jun 2016 11:01:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28119/kraken-ultrafast-metagenomic-sequence-classification-using-exact-alignments</link>
	<title><![CDATA[Kraken: ultrafast metagenomic sequence classification using exact alignments]]></title>
	<description><![CDATA[<p>Kraken is an ultrafast and highly accurate program for assigning taxonomic labels to metagenomic DNA sequences. Previous programs designed for this task have been relatively slow and computationally expensive, forcing researchers to use faster abundance estimation programs, which only classify small subsets of metagenomic data. Using exact alignment of <em>k</em>-mers, Kraken achieves classification accuracy comparable to the fastest BLAST program. In its fastest mode, Kraken classifies 100 base pair reads at a rate of over 4.1 million reads per minute, 909 times faster than Megablast and 11 times faster than the abundance estimation program MetaPhlAn. Kraken is available at <a href="http://ccb.jhu.edu/software/kraken/" target="pmc_ext">http://ccb.jhu.edu/software/kraken/</a>.</p>
<p>Krona</p>
<p>https://sourceforge.net/p/krona/home/krona/</p><p>Address of the bookmark: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053813/" rel="nofollow">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053813/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28286/nipgr-hires-research-associate-jrf-laboratory-assistant</guid>
  <pubDate>Mon, 04 Jul 2016 20:12:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[NIPGR Hires Research Associate, JRF, Laboratory Assistant]]></title>
  <description><![CDATA[
<p>National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg - Delhi, Delhi <br />₹15,000 a month<br />National Institute of Plant Genome Research (NIPGR) invites applications to recruit on vacant posts of Research Associate (RA), Junior Research Fellow (JRF) and Laboratory Assistant. Applications against these Sarkari Naukri can be submitted on or before 16 July 2016. <br />NIPGR Vacancy 2016 Details <br />1. Research Associate (RA) <br />Qualification: Ph.D. degree (awarded) in Molecular Biology/Biotechnolgy/Biochemistry/Plant Science/ Life Sciences/Bioinformatics or related field with 03 years post-doctoral research experience or 02 research papers in the journals of International repute are eligible to apply. Experience in the area of functional genomics, proteomics, metabolomics, multiomics and system biology will be preferred. <br />Age Limit: As Per Rules <br />2. Junior Research Fellow (JRF) <br />Qualification: M.Sc. degree or equivalent in Biotechnolgy/Biochemistry/Plant Science or Botany/ Life Sciences/Bioinformatics/ Molecular Biology or any other related field. Experience in advanced multiomics, big data analysis, molecular and system biology techniques will be given preference. <br />Age Limit: As Per Rules <br />3. Laboratory Assistant <br />Qualification: B.Sc. degree with 05 years working experience in government R&amp;D Laboratory assisting in the field of molecular biology and genomis. <br />Pay Scale: Rs.15000/- Per Month <br />Age Limit: As Per Rules <br />How to Apply : Duly filled-in applications in prescribed application format along with copies of required documents should be reach to: Dr. Subhra Chakraborty, Staff Scientist-VII, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, P.O. Box NO. 10531, New Delhi – 110067 . The Last Date to submit application is 16 July 2016</p>

<p>Source: http://www.nipgr.res.in/careers/vacancies_latest.php#<br />Form at http://www.nipgr.res.in/files/careers/format_RA_JRF_LA.doc</p>
]]></description>
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