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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/37610?offset=70</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/31523/research-associate-bioinformatics-recruitment-in-national-bureau-of-plant-genetic-resources</guid>
  <pubDate>Fri, 10 Mar 2017 06:50:51 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics recruitment in National Bureau of Plant Genetic Resources]]></title>
  <description><![CDATA[
<p>Name of Project  : Indo-UK Centre for improvement of Nitrogen use efficiency in wheat Dr. Soma S. Marla, Pr. Scientist (Bioinformatics), Division of Genomic Resources, ICAR, NBPGR, ND. </p>

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

<p>Qualification : A doctoral (Ph.D). Degree in Bioinformatics OR 1. Masters degree in Bioinformatics or Computer Sciences having 1st division or 60% marks or equivalent overall grade point with at least two years of research experience as evidenced from Fellowship/ Associate ship. 2. NET or equivalent national level examination qualification is essential for the candidates with 3+2 years (B.Sc.+ M.Sc) pattern. Desirable: Demonstrated experience &amp; skills in database design, management, UNIX OS, HPC environment inbased NGS data analysis. Experience substantiated by publications of high quality will be preferred.</p>

<p>Emoluments : Rs. 40,000 (Ph.D)/ Rs + 30 % HRA; 38,000 (Masters) Degree + 30 % HRA.<br />Hiring Process : Walk - In<br />Job Role: Research/JRF/SRF</p>

<p>Candidates should appear by 10.00 AM on 16.03.2016 for registration with relevant documents in the room B4, Bioinformatics Lab, ICAR.NBPGR. old campus, Inderpuri, New Delhi.</p>

<p>The candidates who wish to attend the walk-in interview are requested to bring with them five copies of the CV (one copy with photograph) as per the format given below. Also, the candidates should bring the original documents such as DOB, degree certificates, marks sheets, publications, thesis, experience certificate etc. for verification.</p>

<p>http://www.nbpgr.ernet.in/Downloadfile.aspx?EntryId=7284</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27078/homer-software-for-motif-discovery-and-next-gen-sequencing-analysis</guid>
	<pubDate>Tue, 26 Apr 2016 03:48:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27078/homer-software-for-motif-discovery-and-next-gen-sequencing-analysis</link>
	<title><![CDATA[HOMER:  Software for motif discovery and next-gen sequencing analysis]]></title>
	<description><![CDATA[<p><span>This tutorial covers topics independently of HOMER, and represents knowledge which is important to know before diving head first into more advanced analysis tools such as HOMER.</span></p>
<ol>
<li><a href="http://homer.salk.edu/homer/basicTutorial/computerSetup.html">Setting up your computing environment</a></li>
<li><a href="http://homer.salk.edu/homer/basicTutorial/retrieveFiles.html">Retrieving and storing sequencing files</a>&nbsp;(your own data or from public sources)</li>
<li><a href="http://homer.salk.edu/homer/basicTutorial/fastqFiles.html">Checking sequence quality, trimming, general sequence manipulation</a></li>
<li><a href="http://homer.salk.edu/homer/basicTutorial/mapping.html">Mapping reads to a reference genome</a></li>
<li><a href="http://homer.salk.edu/homer/basicTutorial/samfiles.html">Manipulating SAM/BAM alignment files</a></li>
<li><a href="http://homer.salk.edu/homer/basicTutorial/genomeBrowsers.html">Visualizing data in a genome browser</a></li>
</ol>
<p><br>RNA-Seq</p>
<ol>
<li><a href="http://homer.salk.edu/homer/basicTutorial/rnaseqCufflinks.html">De novo transcript discovery and differential analysis with Cufflinks</a></li>
<li><a href="http://homer.salk.edu/homer/basicTutorial/rnaseqR.html">Differential expression analysis with R/Bioconductor</a></li>
<li><a href="http://homer.salk.edu/homer/basicTutorial/clustering.html">Clustering of large expression datasets (microarray or RNA-Seq)</a></li>
</ol>
<p><br><span>Microarray</span></p>
<ol>
<li><a href="http://homer.salk.edu/homer/basicTutorial/affymetrix.html">Basic analysis of Affymetrix Gene Expression Arrays using R/Bioconductor</a></li>
</ol>
<p><span>General Tips for Data Analysis</span></p>
<ol>
<li><a href="http://homer.salk.edu/homer/basicTutorial/excelTips.html">Excel workarounds, adding gene annotation, X-Y plots tips, etc.</a></li>
</ol><p>Address of the bookmark: <a href="http://homer.salk.edu/homer/basicTutorial/" rel="nofollow">http://homer.salk.edu/homer/basicTutorial/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27094/smash-an-alignment-free-method-to-find-and-visualise-rearrangements-between-pairs-of-dna-sequences</guid>
	<pubDate>Tue, 26 Apr 2016 12:18:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27094/smash-an-alignment-free-method-to-find-and-visualise-rearrangements-between-pairs-of-dna-sequences</link>
	<title><![CDATA[Smash: An alignment-free method to find and visualise rearrangements between pairs of DNA sequences]]></title>
	<description><![CDATA[<p><strong>Smash is a completely alignment-free method/tool to find and visualise genomic rearrangements</strong><span>. The detection is based on&nbsp;</span><strong>conditional exclusive compression</strong><span>, namely using a FCM (Markov model), of high context order (typically 20). For visualisation, Smash outputs a&nbsp;</span><strong>SVG image</strong><span>, with an&nbsp;</span><strong>ideogram</strong><span>output architecture, where the patterns are represented with several&nbsp;</span><strong>HSV values</strong><span>&nbsp;(only value varies). The method can perform both in small- and large-scale. Nevertheless is more directed to large-scale since that the main aim of the research is to&nbsp;</span><strong>know where the large-scale [chromosomal by chromosome] of several primates was equal/different, having at a glance a map of the entire genomes</strong><span>.</span></p><p>Address of the bookmark: <a href="http://bioinformatics.ua.pt/software/smash/" rel="nofollow">http://bioinformatics.ua.pt/software/smash/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27104/gatb-genome-analysis-toolbox-with-de-bruijn-graph</guid>
	<pubDate>Thu, 28 Apr 2016 11:16:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27104/gatb-genome-analysis-toolbox-with-de-bruijn-graph</link>
	<title><![CDATA[GATB : Genome Analysis Toolbox with de-Bruijn graph]]></title>
	<description><![CDATA[<p>The&nbsp;<strong><strong>Genome Analysis Toolbox with de-Bruijn graph</strong> (GATB)</strong> provides a set of <a href="https://gatb.inria.fr/gatb-global-architecture/">highly efficient algorithms to analyse NGS data sets</a>. These methods enable the analysis of data sets of any size on multi-core desktop computers, including very huge amount of reads data coming from any kind of organisms such as bacteria, plants, animals and even complex samples (<em>e.g.</em> metagenomes).</p>
<p>More at https://gatb.inria.fr/</p><p>Address of the bookmark: <a href="https://gatb.inria.fr/" rel="nofollow">https://gatb.inria.fr/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27238/slurm</guid>
	<pubDate>Wed, 04 May 2016 05:13:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27238/slurm</link>
	<title><![CDATA[SLURM]]></title>
	<description><![CDATA[<p><a href="http://www.schedmd.com/">SLURM</a> workload manager software, a free open-source workload manager designed specifically to satisfy the demanding needs of high performance computing.</p>
<p>This page is a <em>HOWTO</em> guide for setting up a <a href="http://www.schedmd.com/">SLURM</a> installation, currently focused on a CentOS 7 Linux OS. Please send feedback to Ole.H.Nielsen /at/ fysik.dtu.dk.</p>
<p>See the <a href="http://www.schedmd.com/">SLURM</a> homepage (also <a href="https://computing.llnl.gov/linux/slurm/">https://computing.llnl.gov/linux/slurm/</a>).</p><p>Address of the bookmark: <a href="https://wiki.fysik.dtu.dk/niflheim/SLURM" rel="nofollow">https://wiki.fysik.dtu.dk/niflheim/SLURM</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27290/scientists-post-at-monsanto</guid>
  <pubDate>Wed, 11 May 2016 07:58:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[Scientists post at Monsanto]]></title>
  <description><![CDATA[
<p>Sustainable agriculture is at the core of Monsanto. We develop technologies that enable farmers to produce more crops while conserving natural resources. Monsanto scientists are conducting research and development (R&amp;D) to revolutionize plant breeding and biotechnology.</p>

<p>Monsanto is seeking a very talented Genomics Scientistto become an integral member of our Global Pipeline Analytics team with a focus on quantitative genetics. The ideal candidate will have familiarity with modeling and analysis of genetic data sets using a variety of statistical techniques.</p>

<p>Major Responsibilities:<br />- Provide guidance on experimental design for genomic-related experiments<br />- Familiarity with analysis of the following methods: GWS, QTL, eQTL, RNA-Seq<br />- Provide written and oral presentations of methods, results, conclusions, and recommendations to peer and management groups.<br />- Ensure timely delivery and clear communication of results<br />- Develop strong and successful collaborations among various Monsanto enabling teams.</p>

<p>Required Skills:</p>

<p>- PhD degree in Statistics, Biostatistics, Statistical Genetics, Quantitative Genetics, Breeding, Bioinformatics or a related field with 2 years of experience<br />- Working knowledge and experience with one of the following quantitative languages:R, Python, Perl, SAS<br />- Background in Windows and Linux operating systems<br />- Very strong problem solving skills will be required to work well as a member of a dynamic team<br />- Strong verbal and written communication skills.<br />- Demonstrated ability to deliver timely results and be results oriented.<br />- Extensive knowledge of quantitative genetics and experimental design.&nbsp;<br />- Demonstrated track record of solving challenging and complex problems.</p>

<p>Desired Skills/Experience:</p>

<p>- Excellent communication skills, with the ability to summarize complex concepts in language understandable by scientists from a variety of disciplines.<br />- Experience in agronomy and/or plant breeding in vegetables or row crops.</p>

<p>Please apply to<br />https://jobs.monsanto.com/job/st-louis/genomics-scientist/769/2081771</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/27318/sample-binc-question-paper-2016-part2</guid>
	<pubDate>Fri, 13 May 2016 03:42:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/27318/sample-binc-question-paper-2016-part2</link>
	<title><![CDATA[Sample BINC question paper 2016 - part2]]></title>
	<description><![CDATA[<p>Download the sample question paper for BINC 2016 - paer II</p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/27318" length="52024" type="application/pdf" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27331/andi</guid>
	<pubDate>Fri, 13 May 2016 05:16:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27331/andi</link>
	<title><![CDATA[Andi]]></title>
	<description><![CDATA[<p>This is the <code>andi</code> program for estimating the evolutionary distance between closely related genomes. These distances can be used to rapidly infer phylogenies for big sets of genomes. Because <code>andi</code> does not compute full alignments, it is so efficient that it scales even up to thousands of bacterial genomes.</p>
<p>This readme covers all necessary instructions for the impatient to get <code>andi</code> up and running. For extensive instructions please consult the <a href="https://github.com/EvolBioInf/andi/blob/master/andi-manual.pdf">manual</a>.</p>
<p>More at https://github.com/evolbioinf/andi/</p><p>Address of the bookmark: <a href="http://bioinformatics.oxfordjournals.org/content/early/2015/01/13/bioinformatics.btu815.full" rel="nofollow">http://bioinformatics.oxfordjournals.org/content/early/2015/01/13/bioinformatics.btu815.full</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27475/polyphen-2-prediction-of-functional-effects-of-human-nssnps</guid>
	<pubDate>Mon, 23 May 2016 02:27:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27475/polyphen-2-prediction-of-functional-effects-of-human-nssnps</link>
	<title><![CDATA[PolyPhen-2: Prediction of functional effects of human nsSNPs]]></title>
	<description><![CDATA[<p><strong>PolyPhen-2</strong> (<strong>Poly</strong>morphism <strong>Phen</strong>otyping v<strong>2</strong>) is a tool which predicts possible impact of an amino acid substitution on the structure and function of a human protein using straightforward physical and comparative considerations.</p><p>Address of the bookmark: <a href="http://genetics.bwh.harvard.edu/pph2/" rel="nofollow">http://genetics.bwh.harvard.edu/pph2/</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27432/gkno</guid>
	<pubDate>Fri, 20 May 2016 18:56:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27432/gkno</link>
	<title><![CDATA[GKNO]]></title>
	<description><![CDATA[<p><span>gkno opens the world of complex bioinformatic analysis to people of all level of computational expertise. This site contains documentation, tutorials and information on all the tools that comprise gkno.</span></p>
<p><span>http://gkno.me/how-to/install.html</span></p>
<p><span>http://gkno.me/software.html</span></p><p>Address of the bookmark: <a href="http://gkno.me/" rel="nofollow">http://gkno.me/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

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