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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/33741?offset=350</link>
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	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/16160/research-scientist-%E2%80%93-bioinformatics-at-sidra-medical-and-research-center</guid>
  <pubDate>Wed, 10 Sep 2014 14:35:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Scientist – Bioinformatics at Sidra Medical and Research Center]]></title>
  <description><![CDATA[
<p>Sidra Medical and Research Center(Doha, Qatar) is looking for talented Research Scientists (Bioinformatics / NGS Data Analysis).</p>

<p>Research Scientists within the Bioinformatics Program are involved in research related to cutting edge genomics and analysis of omics data. The research will utilize concepts, theories and best practices obtained from bioinformatics discipline and applied to biological and other biomedical data for analysis. The role may also involve designing databases, algorithm and/or computation methods for analyzing genomics and other omics data.  The scientist will be working closely with the Translational Medicine Program within a state-of-the art research setting.</p>

<p>Please check the details of the opening and apply here: http://careers.sidra.org/sidra/Vacan...acancyID=60181</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/18384/big-genomic-data-on-google-cloud-platform</guid>
	<pubDate>Fri, 17 Oct 2014 02:16:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/18384/big-genomic-data-on-google-cloud-platform</link>
	<title><![CDATA[Big genomic data on Google Cloud Platform]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/ExNxi_X4qug" frameborder="0" allowfullscreen></iframe>As the cost of DNA sequencing has dropped, the volume of data produced has risen into the petabytes. Google is working with the genomics community to define a standard API for working with big genomic data sets in the cloud. Building on Google Cloud Platform, we show how to store, process, explore and share genomic data using technologies like BigQuery, AppEngine MapReduce, R and more.]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18579/cluster-innovation-center-university-of-delhi</guid>
  <pubDate>Wed, 22 Oct 2014 10:39:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[CLUSTER INNOVATION CENTER @ UNIVERSITY OF DELHI]]></title>
  <description><![CDATA[
<p>Applications for Pre-selection of  candidates under ‘Institutions Mode’ for DST-ISPIRE Faculty in  Computational Biology/ Systems Biology/ Bioinformatics</p>

<p>Applications are invited for pre-selection  of candidates for Ministry of Science and Technology, Department of Science and Technology INSPIRE Faculty Scheme: a component of “Assured Opportunity for Research Career (AORC)” under INSPIRE in the area of computational Biology/Systems Biology/Bioinformatics.</p>

<p>Candidates having done their B.Tech/B.E.  and or M.Sc./M.Tech in Computer Science or Biotechnology and Ph.D. in Systems/ Computational Biology or Bioinformatics may apply in the following format prescribed by DST to the Director, Cluster Innovation Center, University Stadium, GC Narang Marg, University of Delhi, Delhi -11107. Detials of other qualification, age limits etc., please visit www.inspire-dst.gov.in.</p>

<p>Application on the prescribed format may be submitted by email to director@cic.du.ac.in before October 25, 2014. Selected candidates shall be called for an interview. The date, time and venue of the interview shall be informed by email/telephone. For more information about Cluster Innovation Center, please visit https://ducic.ac.in.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19090/deeptools</guid>
	<pubDate>Sat, 08 Nov 2014 15:02:08 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19090/deeptools</link>
	<title><![CDATA[deepTools]]></title>
	<description><![CDATA[<p>deepTools addresses the challenge of handling the large amounts of data that are now routinely generated from DNA sequencing centers. To do so, deepTools contains useful modules to process the mapped reads data to create coverage files in standard bedGraph and bigWig file formats. By doing so, deepTools allows the creation of normalized coverage files or the comparison between two files (for example, treatment and control). Finally, using such normalized and standardized files, multiple visualizations can be created to identify enrichments with functional annotations of the genome.<br /><br />Publicaton: http://nar.oxfordjournals.org/content/early/2014/05/05/nar.gku365.full<br /><br />Source Code and Wiki: https://github.com/fidelram/deepTools/wiki<br /><br />Galaxy Tool Shed repository: http://toolshed.g2.bx.psu.edu/view/bgruening/deeptools<br /><br />and example Galaxy workflows: http://toolshed.g2.bx.psu.edu/view/bgruening/deeptools_workflows</p>]]></description>
	<dc:creator>Martin Jones</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19631/rosalind-bioinformatics-problems</guid>
	<pubDate>Thu, 18 Dec 2014 10:32:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19631/rosalind-bioinformatics-problems</link>
	<title><![CDATA[Rosalind Bioinformatics problems !!!]]></title>
	<description><![CDATA[<p>Rosalind is a platform for learning bioinformatics and programming through problem solving. <a href="http://rosalind.info/problems/list-view/">Take a tour</a> to get the hang of how Rosalind works.</p>
<p>http://rosalind.info/problems/list-view/</p><p>Address of the bookmark: <a href="http://rosalind.info/problems/list-view/" rel="nofollow">http://rosalind.info/problems/list-view/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21095/ra-walk-in-interview-actrec</guid>
  <pubDate>Mon, 09 Feb 2015 01:06:16 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA WALK-IN-INTERVIEW @ ACTREC]]></title>
  <description><![CDATA[
<p>No. ACTREC/Advt./ 7 /2015</p>

<p>Title of the Project<br />Research Associate<br />(One position)<br />DBTs Biotechnology/Bioinformatics training centre<br />PI Dr. Ashok Varma	</p>

<p>Duration of the Project Six Months from the date of appointment, can be extended further for six month.</p>

<p>Date &amp; Time: 17th February, 2015 at 10.00 a.m.</p>

<p>Venue: Meeting Room, 3rd floor, Khanolkar Shodhika, ACTREC</p>

<p>Essential Qualifications and Experience:</p>

<p>Ph.D. Degree in Basic Sciences from recognized University. Research experience in Bioinformatics or on gene cloning, protein purification, and crystallization.</p>

<p>*M.Sc. degree obtained after a one year course will not be considered.</p>

<p>Selected candidate will have to join at the earliest.</p>

<p>Consolidated Salary: Rs.28,600/- p.m. {Rs.22,000/- + 30% HRA}</p>

<p>The work progress of the candidate will be monitored and extension after 6 months will depend on satisfactory progress of the work.</p>

<p>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 12-02-2015.<br />The interviews would be held on 17th February, 2015 and will be only for the pre-registered candidates. Candidates should report between 09.30 to 10.00 a.m. in Steno Pool, 3rd floor, Khanolkar Shodhika, ACTREC, Kharghar, Navi Mumbai.<br />No T.A./D.A. will be admissible for attending the interview.</p>

<p>At the time of Interview the candidate should bring original certificates along with CV with contact details of 2 referees and submit the photocopies (attested) of the certificates, with a recent passport size photograph.</p>

<p>All correspondence should be strictly made only to ‘program.office@actrec.gov.in’ as indicated.</p>

<p>Advertisement: www.actrec.gov.in/data%20files/2015/AV-RA-DBT-28-1-15.docx</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21242/summer-intern-research-bioinformatics</guid>
  <pubDate>Mon, 16 Feb 2015 12:26:32 -0600</pubDate>
  <link></link>
  <title><![CDATA[Summer Intern - Research Bioinformatics]]></title>
  <description><![CDATA[
<p>Be proficient in LINUX, know perl or python, understand biology and Next Generation Sequencing.<br />The intern will port Agile Assay Design pipelines into Galaxy.<br />The intern will also learn to develope his/her own bioinformatics pipelines for PCR or NGS data analysis.</p>

<p>Who you are<br />You’re someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.</p>

<p>Qualifications:<br />Major: Bioinformatcis or biology major who is interested and wants to learn Biocomputing, At least 2 years of college.<br />Basic knowledge of LINUX and programming, e.g., perl, python, XML.</p>

<p>More at http://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-00437679&amp;locale=en&amp;title=Summer%20Intern%20-%20Research%20Bioinformatics</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21436/jrf-bioinformatics-iisr-kozhikode</guid>
  <pubDate>Tue, 24 Feb 2015 08:44:17 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics @ IISR, Kozhikode]]></title>
  <description><![CDATA[
<p>JRF Bioinformatics Jobs recruitment in Indian Institute of Spices Research on temporary basis</p>

<p>Name of the Scheme : Distributed Information Sub Centre – DISC</p>

<p>Qualifications :  M.Sc/ B Tech in Bioinformatics with NET/GATE or M Tech in Bioinformatics</p>

<p>Number of posts : One</p>

<p>Emoluments : Rs. 25,000/-</p>

<p>Upper age limit : 35 years for Men &amp; 40 years for Women as on date of Interview<br />How to apply</p>

<p>Date of Interview : 12-03-2015 at 10.00 AM. All relevant certificates (in original) and bio data, No objection certificate in case he/she is employed elsewhere and experience certificate in original (if any) need to be produced at the time of interview.</p>

<p>More at http://spices.res.in/index.php?option=com_content&amp;view=article&amp;id=263</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/21444/a-guide-for-complete-r-beginners-installing-r-packages</guid>
	<pubDate>Tue, 24 Feb 2015 20:23:34 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/21444/a-guide-for-complete-r-beginners-installing-r-packages</link>
	<title><![CDATA[A guide for complete R beginners :- Installing R packages]]></title>
	<description><![CDATA[<p>Part of the reason R has become so popular is the vast array of packages available at the <a href="http://cran.r-project.org/" target="_blank">cran</a> and <a href="http://www.bioconductor.org/" target="_blank">bioconductor</a> repositories. In the last few years, the number of packages has grown <a href="http://blog.revolutionanalytics.com/2010/09/what-can-other-languages-learn-from-r.html" target="_blank">exponentially</a>!</p><p>This is a short post giving steps on how to actually install R packages. Let&rsquo;s suppose you want to install the <a href="http://had.co.nz/ggplot2/" target="_blank">ggplot2</a> package. Well nothing could be easier. We just fire up an R shell and type:<br /><code><br />&gt; install.packages("ggplot2")</code></p><p>In theory the package should just install, however:</p><ul>
<li>if you are using Linux and don&rsquo;t have root access, this command won&rsquo;t work.</li>
<li>you will be asked to select your local mirror, i.e. which server should you use to download the package.</li>
</ul><h4>Installing packages without root access</h4><p>First, you need to designate a directory where you will store the downloaded packages. On my machine, I use the directory <code>/data/Rpackages/</code> After creating a package directory, to install a package we use the command:<br /><code><br />&gt; install.packages("ggplot2"</code><code>, lib="/data/Rpackages/")<br />&gt; library(ggplot2, lib.loc="/data/Rpackages/")<br /></code></p><p>It&rsquo;s a bit of a pain having to type <code>/data/Rpackages/</code> all the time. To avoid this burden,&nbsp; we create a file <code>.Renviron</code> in our home area, and add the line <code>R_LIBS=/data/Rpackages/</code> to it. This means that whenever you start R, the directory <code>/data/Rpackages/</code> is added to the list of places to look for R packages and so:</p><p><code>&gt; install.packages("ggplot2"</code><code>)<br />&gt; library(ggplot2)</code></p><p>just works!</p><h4>Setting the repository</h4><p>Every time you install a R package, you are asked which repository R should use. To set the repository and avoid having to specify this at every package install, simply:</p><ul>
<li>create a file <code>.Rprofile</code> in your home area.</li>
<li>Add the following piece of code to it:</li>
</ul><p><code><br />cat(".Rprofile: Setting UK repositoryn")<br />r = getOption("repos") # hard code the UK repo for CRAN<br />r["CRAN"] = "http://cran.uk.r-project.org"<br />options(repos = r)<br />rm(r)<br /></code></p><p>I found this tip in a stackoverflow <a href="http://stackoverflow.com/questions/1189759/expert-r-users-whats-in-your-rprofile/1189826#1189826" target="_blank">answer </a>.</p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21830/research-associate-bioinformatics-job-position-in-indian-agricultural-statistics-research-institute-iasri</guid>
  <pubDate>Tue, 31 Mar 2015 20:45:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics job position in Indian Agricultural Statistics Research Institute (IASRI)]]></title>
  <description><![CDATA[
<p>Research Associate Bioinformatics job position in Indian Agricultural Statistics Research Institute (IASRI)</p>

<p>Qualification : Ph.D. in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application/ Life Science/ Biotechnology/ Agricultural Science or equivalent. Desirable: Knowledge of Statistical and Computational Genomics/ Proteomics/ Bioinformatics OR Post-Graduation in Bioinformatics/ Agricultural Statistics/ Statistics/ Computer Science/ Computer Application/ Life Science/ Biotechnology/ Agricultural Science or equivalent with 1st Division or 60% marks or equivalent with at least two years of research experience. Desirable:Expertise on use of various software/ tool.</p>

<p>No.of Post: 2</p>

<p>Emoluments for RA: Consolidated Rs. 24000/- per month + 30% HRA for Ph.D holders and consolidated Rs. 23000/- per month + 30% HRA for Master Degree.</p>

<p>Age Limit : Age should not be more than 40 years for the post of Research associate (5 years relaxation for SC/ST/ women candidates) and 3 years for OBC candidates as on date of interview.<br />How to apply</p>

<p>Interested candidates are invited to appear for Walk-In interview at Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi -110012, along with filled in application form , all the original certificates from matriculation onwards, Ph.D. or M.Sc. certificate (as the case may be) must be produced at the time of interview in either original or provisional, Bio-Data, attested copies of all experience certificates, testimonials etc., one passport size photograph and one set of the self-attested photocopies of all the required certificates from matriculation onwards and an attested copy of recent passport size photograph pasted onto the application form. Walk-in interview will be held on 16th April, 2015 at 10:30 a.m.</p>

<p>Click Here for Job Details &amp; Application Form http://www.iasri.res.in/employment/employment.htm</p>
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