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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32483?offset=610</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25651/jrftraineeshipstudentship-bioinformatics</guid>
  <pubDate>Thu, 10 Dec 2015 13:49:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF/Traineeship/Studentship Bioinformatics]]></title>
  <description><![CDATA[
<p>JRF/Traineeship/Studentship Bioinformatics</p>

<p>Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg, CSE), MSc(Bio-Informatics, CS)</p>

<p>Location : Delhi</p>

<p>Last Date : 18 Dec 2015</p>

<p>Hiring Process : Walk - In<br />IARI - Job Details</p>

<p>JRF/Traineeship/Studentship Bioinformatics job position in Indian Agricultural Research Institute (IARI) purely temporary</p>

<p>JRF</p>

<p>Qualification: i) Master’s degree in Bioinformatics or Computer Science + NET qualification, or ii) M. Tech degree in Bioinformatics or Computer Science/Engineering</p>

<p>Desirable: Efficiency to handle agricultural databases and bioinformatics tool development</p>

<p>Pay Scale :Rs 25000/- </p>

<p>Age limit : 35 years</p>

<p>Traineeship/2 Post</p>

<p>Qualification: M.Sc./M. Tech (Bioinformatics) with 60 % marks from a recognized University </p>

<p>Pay Scale :Rs. 8000/-consolidated</p>

<p>Age limit : 35 years</p>

<p>Studentship/4 Post</p>

<p>Qualification: Final year M.Sc./ M.Tech (Bioinformatics) Students from a recognized University</p>

<p>Pay Scale :Rs. 8000/-consolidated</p>

<p>Age limit : 35 years<br />How to apply</p>

<p>Walk-in-Interview will be held on 18th December 2015 at 10:00 AM at AKMU, LBS Building,IARI, Pusa Campus, New Delhi-110012. Bring self attested copies and originals of all certificates ( class 10th )onwards along with biodata in the attached format, proof of date of birth, one passport size photo, NOC from present employer, if any.</p>

<p>More at http://www.iari.res.in/index.php?option=com_jumi&amp;fileid=24&amp;Itemid=664</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25815/jrf-bioinformatics-job-position-in-university-of-hyderabad</guid>
  <pubDate>Tue, 29 Dec 2015 01:00:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics job position in University of Hyderabad]]></title>
  <description><![CDATA[
<p>JRF Bioinformatics</p>

<p>Eligibility : ME/M.Tech(Bio-Informatics/Bio-Chemistry Engg), MSc(Bio-Informatics)</p>

<p>Location : Hyderabad</p>

<p>Last Date : 30 Dec 2015</p>

<p>Hiring Process : Written-test<br />University of Hyderabad</p>

<p>JRF Bioinformatics job position in University of Hyderabad </p>

<p>Project Entitled : Programming protective humoral responses with novel vaccine formulations against Dengue Virus</p>

<p>Essential Qualifications : M. Sc. in Life Sciences/Bioinformatics/ or M. Tech in Bioinformatics with a minimum of 60% marks and with CSIR-UGC JRF/NET or valid GATE score are preferred. Desirable : Candidates should have six months to one year hands on experience in molecular biology techniques like gene cloning, protein expression and purification, hands on various nano-formulations for drug/vaccine delivery, immunological assays including animal handling, immunizations, T cells and B cell assays or Candidate should have strong background in Bioinformatics and computational Biology, good programming skill particularly proficiency in R/PERL/PYTHON. Candidates interested in above position should send a one page statement clearly explaining how their skills are relevant to the above said position. The candidates should also enclose detailed CV and the name/Email IDs of three references</p>

<p>Fellowship : Rs. 16,000 p.m. + 30% H.R.A. for the first two years (Revised DBT fellowship guidelines maybe applicable)</p>

<p>Duration : The appointment will be on temporary basis for a period of one year. Based on performance, the appointment could be extended till the end of project<br /> <br />How to apply</p>

<p>Submit your application (hardcopy) in a closed envelope to Dr.Nooruddin<br />Khan, Room S-66B,Department of Biotechnology and Bioinfromatics, School of Life Sciences, University of Hyderabad, Gachibowli, Hyderabad 500 046 or E mail: nklabsls@gmail.com. Last date for receipt of applications is on or before 30.12.2015</p>

<p>More at http://uohyd.ac.in/index.php/component/content/article/87-administration/recruitments/129</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/25993/hoffman-lab</guid>
  <pubDate>Tue, 12 Jan 2016 02:47:41 -0600</pubDate>
  <link></link>
  <title><![CDATA[Hoffman Lab]]></title>
  <description><![CDATA[
<p>They develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological insight.</p>

<p>https://www.pmgenomics.ca/hoffmanlab/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26525/ensembl-comparative-genomics-resources</guid>
	<pubDate>Sun, 28 Feb 2016 17:10:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26525/ensembl-comparative-genomics-resources</link>
	<title><![CDATA[Ensembl comparative genomics resources]]></title>
	<description><![CDATA[<div>
<p>The Ensembl comparative genomics resources are one such reference set that facilitates comprehensive and reproducible analysis of chordate genome data. Ensembl computes pairwise and multiple whole-genome alignments from which large-scale synteny, per-base conservation scores and constrained elements are obtained. Gene alignments are used to define Ensembl Protein Families, GeneTrees and homologies for both protein-coding and non-coding RNA genes. These resources are updated frequently and have a consistent informatics infrastructure and data presentation across all supported species. Specialized web-based visualizations are also available including synteny displays, collapsible gene tree plots, a gene family locator and different alignment views. The Ensembl comparative genomics infrastructure is extensively reused for the analysis of non-vertebrate species by other projects including Ensembl Genomes and Gramene and much of the information here is relevant to these projects. The consistency of the annotation across species and the focus on vertebrates makes Ensembl an ideal system to perform and support vertebrate comparative genomic analyses. We use robust software and pipelines to produce reference comparative data and make it freely available.</p>
<p><strong>Database URL:</strong> <a href="http://www.ensembl.org" target="pmc_ext">http://www.ensembl.org</a>.</p>
</div><p>Address of the bookmark: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761110/" rel="nofollow">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761110/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26306/busco</guid>
	<pubDate>Sun, 07 Feb 2016 16:02:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26306/busco</link>
	<title><![CDATA[BUSCO]]></title>
	<description><![CDATA[<p>Assessing genome assembly and annotation completeness with Benchmarking Universal Single-Copy Orthologs</p>
<p>More at http://busco.ezlab.org/</p><p>Address of the bookmark: <a href="http://busco.ezlab.org/" rel="nofollow">http://busco.ezlab.org/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26325/crossmap</guid>
	<pubDate>Mon, 08 Feb 2016 15:47:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26325/crossmap</link>
	<title><![CDATA[CrossMap]]></title>
	<description><![CDATA[<p>CrossMap is a program for convenient conversion of genome coordinates (or annotation files) between <em>different assemblies</em> (such as Human <a href="http://www.ncbi.nlm.nih.gov/assembly/2928/">hg18 (NCBI36)</a> &lt;&gt; <a href="http://www.ncbi.nlm.nih.gov/assembly/2758/">hg19 (GRCh37)</a>, Mouse <a href="http://www.ncbi.nlm.nih.gov/assembly/165668/">mm9 (MGSCv37)</a> &lt;&gt; <a href="http://www.ncbi.nlm.nih.gov/assembly/327618/">mm10 (GRCm38)</a>).</p>
<p>It supports most commonly used file formats including SAM/BAM, Wiggle/BigWig, BED, GFF/GTF, VCF.</p>
<p>CrossMap is designed to liftover genome coordinates between assemblies. It&rsquo;s <em>not</em> a program for aligning sequences to reference genome.</p>
<p>We <em>do not</em> recommend using CrossMap to convert genome coordinates between species.</p>
<p>More at http://crossmap.sourceforge.net/</p><p>Address of the bookmark: <a href="http://crossmap.sourceforge.net/" rel="nofollow">http://crossmap.sourceforge.net/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26356/spines</guid>
	<pubDate>Tue, 09 Feb 2016 05:07:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26356/spines</link>
	<title><![CDATA[Spines]]></title>
	<description><![CDATA[<div id="content-header">
<h1>Spines</h1>
</div>
<div id="node-1301">
<div>
<div>
<p><a href="http://www.broadinstitute.org/ftp/distribution/software/spines/"><em>Spines</em></a> is a collection of software tools, developed and used by the Vertebrate Genome Biology Group at the Broad Institute. It provides basic data structures for efficient data manipulation (mostly genomic sequences, alignments, variation etc.), as well as specialized tool sets for various analyses. It also features three sequence alignment packages: <em>Satsuma,</em> a highly parallelized program for high-sensitivity, genome-wide synteny; <em>Papaya,</em> an all-purpose alignment tool for less diverged sequences; and <em>SLAP,</em> a context-sensitive local aligner for diverged sequences with large gaps.</p>
<p>Access <em>Spines</em> <a href="http://www.broadinstitute.org/ftp/distribution/software/spines/">here</a>.</p>
</div>
</div>
</div>
<p>http://www.broadinstitute.org/science/programs/genome-biology/spines</p><p>Address of the bookmark: <a href="http://www.broadinstitute.org/science/programs/genome-biology/spines" rel="nofollow">http://www.broadinstitute.org/science/programs/genome-biology/spines</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26382/project-assistant-jrf-at-north-eastern-hill-university</guid>
  <pubDate>Fri, 12 Feb 2016 09:23:01 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Assistant/ JRF at North Eastern Hill University]]></title>
  <description><![CDATA[
<p>Project Assistant/ JRF</p>

<p>Eligibility : ME/M.Tech, Any Graduate, MSc</p>

<p>Location : Shillong</p>

<p>Last Date : 23 Feb 2016</p>

<p>Hiring Process : Face to Face Interview<br />North Eastern Hill University</p>

<p>Project Assistant/ JRF Jobs recruitment in North Eastern Hill University on temporary basis</p>

<p>Project Title : "Next Generation Sequencing (NGS)-based de novo assembly of expressed transcripts and genome information of Orchids in North-East India"</p>

<p>Project Assistant</p>

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

<p>Qualifications : Graduation</p>

<p>Desirable : Experience of working in a Life Science/Plant Biotechnology lab. and familiarity with computers and field work viz. collection of samples.</p>

<p>JRF</p>

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

<p>Qualifications : M.Tech/M.Sc in Life Sciences/Botany/Biotechnology/ Bioinformatics;</p>

<p>Desirable : Aptitude for Bioinformatics and Computer Programming/ Next generation sequencing data analysis<br />How to apply</p>

<p>The applications through email bicnehu@gmail.com or post must reach the Dr. Devendra Kumar Biswal, Co-Principal Investigator (Co-PI) within 15 days from the date of publication of this advertisement.</p>

<p>More at http://www.nehu.ac.in/Advertisements/projectVacancy.php</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26414/advanced-bash-scripting-guide</guid>
	<pubDate>Thu, 18 Feb 2016 04:50:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26414/advanced-bash-scripting-guide</link>
	<title><![CDATA[Advanced Bash-Scripting Guide]]></title>
	<description><![CDATA[<p>This tutorial assumes no previous knowledge of scripting or programming, yet progresses rapidly toward an intermediate/advanced level of instruction <em>. . . all the while sneaking in little nuggets of <span>UNIX</span>&reg; wisdom and lore</em>. It serves as a textbook, a manual for self-study, and as a reference and source of knowledge on shell scripting techniques. The exercises and heavily-commented examples invite active reader participation, under the premise that <tt><strong>the only way to really learn scripting is to write scripts</strong></tt>.</p>
<p>This book is suitable for classroom use as a general introduction to programming concepts.</p>
<p>More at http://tldp.org/LDP/abs/html/</p><p>Address of the bookmark: <a href="http://tldp.org/LDP/abs/html/" rel="nofollow">http://tldp.org/LDP/abs/html/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26438/scientist-at-regional-medical-research-centre-icmr-rmrc-port-blair</guid>
  <pubDate>Mon, 22 Feb 2016 04:38:48 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist at Regional Medical Research Centre (ICMR), RMRC, Port Blair]]></title>
  <description><![CDATA[
<p>Scientist</p>

<p>Eligibility : MSc, M Phil / Phd, BE/B.Tech</p>

<p>Location : Delhi</p>

<p>Last Date : 08 Mar 2016</p>

<p>Hiring Process : Walk - In<br />Regional Medical Research Centre - </p>

<p>Notification Order No.1-51/Proj/RMRC/PB/</p>

<p>Scientist – II (Post Code: BIC-II) job position in Regional Medical Research Centre (ICMR)</p>

<p>Essential Qualification: 1 st class Master’s degree in Bioinformatics / Computational Biology.  B.E / B.Tech (Bioinformatics / Computer Science / Biotechnology) OR 2nd Class M.Sc. with Ph.D. in Bioinformatics / Computational Biology / Life Science.</p>

<p>Desirable Qualification:  Post-doctoral research experience in Bioinformatics / Computational Biology / Computer Science / Life Science at a recognized institution.  Experience in handling and analyzing sequencing data.  Experience in scripting languages (PERL/PYTHON) etc./ Statistical software.  Experience in developing research projects.</p>

<p>Number of Post: 1 UR</p>

<p>Place of Posting: RMRC, Port Blair </p>

<p>Age Limit: 40 years</p>

<p>Pay Scale : Rs.45,954<br />How to apply</p>

<p>Interested candidates are invited to submit applications along with copies of all the certificates of educational qualifications, date of birth, working experience etc . on the affixing a passport size photograph by Application Format to attend a walk-in interview on 8th March 2016 at 10:30 AM.</p>

<p>More at http://www.icmr.nic.in/icmrnews/port%20blair%20Bioinf%2003-2016.pdf</p>
]]></description>
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