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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29652?offset=430</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28546/ra-bioinformatics-at-national-bureau-of-fish-genetic-resources</guid>
  <pubDate>Mon, 25 Jul 2016 03:14:06 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at  National Bureau of Fish Genetic Resources]]></title>
  <description><![CDATA[
<p>F.No. 1(16)/2016-Admn. (DBT-BBSRC Project)<br />Research Associate /JRF Biotechnology Job vacancies in National Bureau of Fish Genetic Resources on contract basis</p>

<p>Research Associate /01 Post</p>

<p>Essential: Ph.D. in Bioinformatics or 03 years research experience after Post Graduation in Bioinformatics with at least one research paper in Science Citation Indexed (SCI) journals.</p>

<p>Desirable:  The candidate should have at least 1st Division during Graduation and Post Graduation.  Experience in assembly/ analysis/ annotation of genomic/transcriptomic data generated on next generation sequencing platforms and working knowledge on different genomic softwares.  Publications in Relevant Field.</p>

<p>Pay Scale : Rs. 36,000/- +20% HRA </p>

<p>Age: 40 years for male and 45 years for female candidates, as on the date of interview</p>

<p>Junior Research Fellow/ 01 </p>

<p>Essential: Master Degree in Biotechnology/Life Science with Specialization in Molecular Biology with NET qualification. </p>

<p>Desirable:  Research Experience in Molecular Biology. 1st Division during Graduation as well as Post Graduation. Publications in Relevant Field.</p>

<p>Pay Scale: Rs. 25,000/-+ 20% HRA for 1st and 2nd year and Rs. 28,000/-+ 20% HRA for 3rd year</p>

<p>Age: 35 years for male and 40 years for female candidates, as on the date of interview.<br />How to apply<br />A walk-in-interview will be held on 26.07.2016 at 10:00 hrs. at ICAR-National Bureau of Fish Genetic Resources, Lucknow.</p>

<p>More at http://www.nbfgr.res.in/Recruitments.aspx</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28566/emboss-apps</guid>
	<pubDate>Wed, 27 Jul 2016 06:00:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28566/emboss-apps</link>
	<title><![CDATA[EMBOSS Apps]]></title>
	<description><![CDATA[<p>The programs are listed in alphabetical order, Look at the individual applications or go to the&nbsp;<a href="http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/groups.html">GROUPS</a>&nbsp;page to search by category.</p>
<p><a href="http://emboss.sourceforge.net/apps/release/6.6/embassy/index.html">EMBASSY applications</a>&nbsp;are described in separate documentation for each package.</p>
<h3><a name="current" id="current"></a>Applications&nbsp;in the&nbsp;<a href="ftp://emboss.open-bio.org/pub/EMBOSS/">current release</a></h3><p>Address of the bookmark: <a href="http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/" rel="nofollow">http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28602/srf-and-jrf-bioinformatics-at-tezpur-university-napaam</guid>
  <pubDate>Wed, 03 Aug 2016 03:47:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF and JRF Bioinformatics at Tezpur University, Napaam]]></title>
  <description><![CDATA[
<p>Applications are invited for the following temporary positions unde MHRD sponsored Centre of Excellence<br />in the Department of Computer Science and Engineering (CSE), Tezpur University<br /> <br />Qualification<br />and Experience : Senior Research Fellow (SRF) and JRF : First Class in M.E/M.Tech in CSE/IT/ECE with research<br />experience in relevant fields of research (Candidates having valid GATE/NET Score would be preferred).</p>

<p> <br />Fellowship: Rs. 18,000/- per month (fixed)<br /> <br />Duration : 2 (Two) years and may be extended<br />depending on status of the project<br /> <br />Age Limit: Candidates should not be more than 32 years of<br />age in case of SRF and 28 years of age in case of JRF and TA. Upper age limit may be relaxed up to 5<br />years in the case of candidate belonging to SC/ ST/ OBC/ Women/ Differently abled.<br /> <br />How to Apply:<br />Interested candidates may send their application on plain paper by post along with his/her educational<br />qualifications, research experience certificates (for SRF), 02 copies of recent passport/stamp size photographs<br />and contact phone number to Professor D.K Bhattacharyya, Principal Investigator, Department of Computer<br />Science &amp; Engineering, Tezpur University, Napaam – 784 028, or mail it to dkb@tezu.ernet.in<br />(or to smh@tezu.ernet.in) within 15 days of publication of this advertisement.<br /> <br />No TA/DA shall<br />be paid for attending the interview.<br /> <br />For more details: http://www.tezu.ernet.in/ProjectWalkin/Advt-DoRD-CSE-DKB-20-225-6779-A.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29017/walk-in-interview-jipmer</guid>
  <pubDate>Mon, 05 Sep 2016 04:01:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[WALK-IN INTERVIEW @ JIPMER]]></title>
  <description><![CDATA[
<p>Department of Preventive and Social Medicine<br />, JIPMER, Puducherry –605006</p>

<p>WALK-IN INTERVIEW</p>

<p>JIP/PSM/INDO-US TB/ 2016/</p>

<p>Walk-in-interview for the following vacant posts funded by Department of Biotechnology, Govt.of India for the project entitled “Biomarkers for Risk of Tuberculosis and for Tuberculosis Treatment Failure and Relapse” in the Department of Preventive &amp; Social Medicine, JIPMER, Puducherry.</p>

<p>3. Technical Assistant</p>

<p>MCA/ MSc in Biostatistics/ MSc in Computational Biology from any recognized University @ Rs.23,220 1</p>

<p>Interested candidates may attend the walk-in interview with written screening test on 07, September 2016 at 9.30 A.M in the Dept. of Preventive and Social Medicine, IV Floor, Administrative Block, JIPMER.</p>

<p>The applicants are requested to bring the filled in application form and bio-data with original certificates for verification.</p>

<p>More Info: http://jipmer.edu.in/wp-content/uploads/2016/09/RECRUITEMENTsite-protocol-7.9.2016.pdf</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28851/senior-manager-bioinformatics-operations-at-rgcb-india</guid>
  <pubDate>Fri, 19 Aug 2016 04:37:17 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Manager (Bioinformatics Operations) at RGCB, India]]></title>
  <description><![CDATA[
<p>Senior Manager (Bioinformatics Operations) <br />Rajiv Gandhi Centre for Biotechnology (RGCB) - Thiruvananthapuram, Kerala <br />₹15,600 - ₹39,100 a month<br />Rajiv Gandhi Centre for Biotechnology (RGCB) invites applications for the following positions from Indian citizens with prescribed qualifications </p>

<p>Senior Manager (Bioinformatics Operations) <br />No. of posts: 01 (General) <br />Pay Scale: PB-3 15600-39100 + Grade Pay Rs.6600/- <br />Min. Qualification: PhD in Bioinformatics, , Life Sciences or Computer Science applied to biological questions. <br />A Min. 5 years of experience <br />Age limit: 40 years as on August 01, 2016</p>

<p>More at http://www.rgcb.res.in/positions.php</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29016/traineeshipstudentship-conducts-university-of-delhi-gargi-college</guid>
  <pubDate>Mon, 05 Sep 2016 03:45:58 -0500</pubDate>
  <link></link>
  <title><![CDATA[Traineeship/Studentship conducts University of Delhi (Gargi College)]]></title>
  <description><![CDATA[
<p>Traineeship/Studentship cunducts University of Delhi (Gargi College) on purely temporary for a period of six months.<br />Traineeship — 01 (one post)<br />Essential Qualification: Post Graduate degree in Bioinformatics or any other branch of Life Sciences preferably with dissertation in Bioinformatics. Desirable Qualification: Prior knowledge of programming languages such as C, VB, SQL etc. and software/database development<br />Studentship- 01 (one post)<br />Essential Qualifications: Final year Post Graduate students pursuing a degree in Bioinformatics or any branch of Life Science with knowledge of bioinformatics<br />Salary: Rs.8000/- p.m.<br />How to apply<br />Interested candidates are required to appear for the walk in interview on 14th. September, 2016 at 9.30 AM in Principal's Office, Gargi College, Sirifort Road, N. Delhi-110049</p>

<p>More at http://www.du.ac.in/du/index.php?mact=News,cntnt01,detail,0&amp;cntnt01articleid=12859&amp;cntnt01returnid=83</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29263/srf-bioinformatics-at-bose-institute-india</guid>
  <pubDate>Thu, 29 Sep 2016 09:39:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF Bioinformatics at Bose Institute, India]]></title>
  <description><![CDATA[
<p>Advt. No. S/DPB(CB)/17/2016-17 <br />Junior Research Assistant/ Senior Research Assistant  Job vacancies in Bose Institute on temporary basis<br />Project Title : “Genome wide transcriptome analysis to identity MYMIV-stress related genomic resources of blackgram”<br />Junior Research Assistant <br />Qualification : Good academic record in B.Sc. and M.Sc. in Botany or Biotechnology from reputed Universities. Must have good practical hand, this should be certified by two Senior/reputed PG teachers on a scale of 10. <br />Desirable : Preference will be given to those who already have some research experience (for at least 2 months). <br />Consolidated Pay : Rs. 16,400/- p.m. <br />Age Limit : Below 28 years (relaxable in case of SC/ST/OBC/Women candidates only as per rules).<br />Senior Research Assistant <br />Qualification : B.Sc. in Biotechnology and M.Sc. in Biotechnology or Bioinformatics. Hands on training in Bioinformatics. At least two Research Publications with Bioinformatics components. <br />Desirable : Preference will be given to the candidates who have previous experience in Next Gen Sequencing data analysis of genomic/transcriptome/miRNA. <br />Consolidated Pay : Rs. 18,700/- p.m.  <br />Age Limit : Below 30 years (relaxable in case of SC/ST/OBC/Women candidates only as per rules).</p>

<p>http://www.boseinst.ernet.in/advertisement.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29280/nemo-%E2%80%93-a-stochastic-individual-base-genetically-explicit-simulation-platform</guid>
	<pubDate>Sat, 01 Oct 2016 14:45:02 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29280/nemo-%E2%80%93-a-stochastic-individual-base-genetically-explicit-simulation-platform</link>
	<title><![CDATA[Nemo – A stochastic, individual-base, genetically explicit simulation platform]]></title>
	<description><![CDATA[<ul>
<li>
<p>A&nbsp;<strong>recombination map</strong>&nbsp;has been added for all multi-locus traits. The map positions (chromosomal) for neutral markers (e.g. SNPs) and loci under selection (QTLs, deleterious mutations, DMIs) can now be specified explicitly, or set at random. The map can hold an unlimited number of loci of different types jointly, at any recombination scale (cM or lower). The effects of linkage can thus be finely explored.</p>
</li>
<li>
<p>A new trait coding for (Bateson-)<strong>Dobzhansky-Muller incompatibility loci</strong>. Multiple haploid or diploid pairs of incompatible loci can be spread throughout the genome and affect individual fitness.</p>
</li>
<li>
<p><strong>Multi-type selection</strong>:&nbsp;<a href="http://nemo2.sourceforge.net/classIndividual.html" title="This class contains traits along with other individual information (sex, pedigree, etc. ).">Individual</a>&nbsp;fitness can be jointly determined by different types of loci under selectinon, such as QTLs coding for quantitative traits under spatially variable selection, universally deleterious mutations, and Dobzhansky-Muller incompatibility loci.</p>
</li>
<li>
<p><strong>An unlimited number of quantitative traits</strong>&nbsp;under different forms of selection can be modelled, based on universally pleiotropic loci with several bi- or multi-allelic models.</p>
</li>
<li>
<p><strong>Spatial and temporal variation of selection</strong>&nbsp;on quantitative traits is possible, modelling shifts of environmental conditions over time.</p>
</li>
<li>
<p>The dispersal matrix describing the movement of individuals among sub-populations can be replaced by a connectivity matrix and a reduced dispersal matrix describing migration only among the connected sub-populations. This offers a substantial gain in computing time and system memory when simulating very large grids.</p>
</li>
<li>
<p>Input parameters' arguments may be specified in separate files. This is particularly convenient when specifying large matrices.</p>
</li>
<li>
<p>Many adjustments have been made for refined control of the input of parameters and data output. See updates in the manual.</p>
</li>
</ul><p>Address of the bookmark: <a href="http://nemo2.sourceforge.net/index.html" rel="nofollow">http://nemo2.sourceforge.net/index.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29379/bbmap-help</guid>
	<pubDate>Mon, 10 Oct 2016 06:29:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29379/bbmap-help</link>
	<title><![CDATA[BBMap help]]></title>
	<description><![CDATA[<div>
<div>BBMAP <span> &bull; <span>a solution for everything</span></span><a href="https://www.biostarhandbook.com/"><span></span></a></div>
<div>That content has been reformatted and it is being expanded to include more information.<span><span></span></span></div>
</div>
<hr>
<p>There are common options for most BBMap suite programs and depending on the file extension the input/output format is automatically chosen/set.</p>
<hr>
<h3>Using BBMap</h3>
<h4>Mapping Nanopore reads</h4>
<p>BBMap.sh has a length cap of 6kbp. Reads longer than this will be broken into 6kbp pieces and mapped independently.</p>
<p>More at https://www.biostarhandbook.com/tools/bbmap/bbmap-help.html</p><p>Address of the bookmark: <a href="https://www.biostarhandbook.com/tools/bbmap/bbmap-help.html" rel="nofollow">https://www.biostarhandbook.com/tools/bbmap/bbmap-help.html</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29574/beagle</guid>
	<pubDate>Thu, 27 Oct 2016 11:19:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29574/beagle</link>
	<title><![CDATA[Beagle]]></title>
	<description><![CDATA[<p>Beagle is a software package that performs genotype calling, genotype phasing, imputation of ungenotyped markers, and identity-by-descent segment detection.</p>
<p>Beagle version 4.1 has a more accurate genotype phasing algorithm and a very fast and accurate genotype imputation algorithm. Version 4.1 also has several changes to the command line arguments which are described in the&nbsp;<a href="http://faculty.washington.edu/browning/beagle/release_notes" target="_blank">release notes</a>. The "ped" argument has no effect in version 4.1. If your data contains nuclear families and you want to model the parent-offspring relationships when phasing genotypes, please use&nbsp;<a href="https://faculty.washington.edu/browning/beagle/b4_0.html">version 4.0</a>.</p>
<p>If you use Beagle 4.1 in a published analysis, please report the program version and cite the appropriate article.</p>
<p>The citation for Beagle's phasing algorithm is:</p>
<p>S R Browning and B L Browning (2007) Rapid and accurate haplotype phasing and missing data inference for whole genome association studies by use of localized haplotype clustering. Am J Hum Genet 81:1084-1097.<a href="http://dx.doi.org/doi:10.1086/521987" target="_blank">doi:10.1086/521987</a></p>
<p>The citation for Beagle's genotype imputation algorithm is:</p>
<p>B L Browning and S R Browning (2016). Genotype imputation with millions of reference samples. Am J Hum Genet 98:116-126.<a href="http://dx.doi.org/doi:10.1016/j.ajhg.2015.11.020" target="_blank">doi:10.1016/j.ajhg.2015.11.020</a></p>
<p>The citation for Beagle's IBD detection algorithm is:</p>
<p>B L Browning and S R Browning (2013). Improving the accuracy and efficiency of identity-by-descent detection in population data. Genetics 194(2):459-71.<a href="http://dx.doi.org/doi:10.1534/genetics.113.150029" target="_blank">doi:10.1534/genetics.113.150029</a></p><p>Address of the bookmark: <a href="http://faculty.washington.edu/browning/beagle/beagle.html" rel="nofollow">http://faculty.washington.edu/browning/beagle/beagle.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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