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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/14338?offset=530</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26390/przeworski-lab</guid>
  <pubDate>Mon, 15 Feb 2016 05:41:54 -0600</pubDate>
  <link></link>
  <title><![CDATA[Przeworski lab]]></title>
  <description><![CDATA[
<p>Genetic differences among individuals reflect the combined effects of mutation, recombination, population history and natural selection. As a result, studies of natural variation can provide important insights into evolutionary and genetic mechanisms: as examples, DNA sequence conservation among distantly related species can help identify functional roles too subtle to be detected in lab settings, while analyses of population variation allow for inferences about events that are too infrequent to be measured directly. Our research employs this general approach to learn about the dynamics of adaptation and the determinants of recombination and mutation, in humans and in other species.</p>

<p>More at http://przeworski.c2b2.columbia.edu/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26424/biotoolbox</guid>
	<pubDate>Fri, 19 Feb 2016 09:14:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26424/biotoolbox</link>
	<title><![CDATA[BioToolbox]]></title>
	<description><![CDATA[<p>This is a collection of libraries and high-quality end-user scripts for bioinformatic analysis, including working with gene annotation, collecting data scores from a variety of modern file formats, and conversion between file formats. The Bio::ToolBox libraries provide a unified, abstracted interface to multiple common gene annotation formats and the collection of data from multiple data files. They rely on BioPerl SeqFeature libraries and related adaptors to access binary file formats including Bam, BigWig, BigBed, and USeq. The Bio::ToolBox package includes scripts for setting up databases of annotation, collecting annotated features, collecting genomic data relative to features, manipulating and analyzing data, and data format conversion.</p>
<p>More at http://cpansearch.perl.org/src/TJPARNELL/</p><p>Address of the bookmark: <a href="http://cpansearch.perl.org/src/TJPARNELL/" rel="nofollow">http://cpansearch.perl.org/src/TJPARNELL/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26439/ra-at-icar-indian-institute-of-oilseeds-research</guid>
  <pubDate>Mon, 22 Feb 2016 05:21:34 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA at ICAR - INDIAN INSTITUTE OF OILSEEDS RESEARCH]]></title>
  <description><![CDATA[
<p>ICAR - INDIAN INSTITUTE OF OILSEEDS RESEARCH</p>

<p>HYDERABAD-500030</p>

<p>F.No. 5-42/2016/Rectt.</p>

<p>WALK IN INTERVIEW</p>

<p>Eligible candidates are invited to attend Walk in Interview to fill up the (purely) temporary post of Junior Research Fellow (One) under Extramural Research Project entitled “Transcriptome and proteome analysis for identification of candidate genes responsible for pistillate nature in castor “ to be held on 04.03.2016 at 11.00 AM at ICAR – Indian Institute of Oilseeds Research, Rajendranagar, Hyderabad. The tenure of the project is up to 31.03.2017. The requirement and other terms and conditions for the Junior Research Fellow are as under :-</p>

<p>Junior Research Fellow (One)</p>

<p>    Nucleic acid isolations, molecular analysis, bioinformatic analysis</p>

<p>    .M.Sc.Biotechnology/Bioinformatics</p>

<p>    Post Graduation in Life Sciences.</p>

<p>    Candidates having Post Graduate degree in Basic Sciences with 3 years Bachelor’s degree and 2 years Master’s Degree 1,2,3 should have NET qualification.</p>

<p>    Experience in Plant Biotechnology and Bioinformatics</p>

<p>    Rs.25000/- + 30% HRA per month (At present)</p>

<p>More Info : http://icar-iior.org.in/media/docs/employment/2016/jrf-int.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26571/pattern-searching-in-a-single-genome</guid>
	<pubDate>Mon, 07 Mar 2016 05:02:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26571/pattern-searching-in-a-single-genome</link>
	<title><![CDATA[Pattern Searching in a Single Genome]]></title>
	<description><![CDATA[<p>Pattern searching holds much importance for biologists , for the understanding of DNA ( and its functionality) can be more than a matter of satisfying curiosity , but also give answers to many issuess uchas medical conditions . However,there are a number of ways of searching with in a single chromosome.</p><p>Address of the bookmark: <a href="https://www.stats.ox.ac.uk/__data/assets/pdf_file/0018/5373/LintonFinalReport.pdf" rel="nofollow">https://www.stats.ox.ac.uk/__data/assets/pdf_file/0018/5373/LintonFinalReport.pdf</a></p>]]></description>
	<dc:creator>Aasha</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44365/program-officer-bioinformatics-at-jhpiego</guid>
  <pubDate>Tue, 29 Aug 2023 00:05:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[Program Officer, Bioinformatics at Jhpiego]]></title>
  <description><![CDATA[
<p>Jhpiego is a non-profit global health leader and Johns Hopkins University affiliate that is saving lives, improving health, and transforming futures. We partner with governments, health experts, and local communities to build the skills and systems that guarantee a healthier future for women and families. Jhpiego translates the best science and practices into moments of care that can mean the difference between life and death for women and families. The moment a woman gives birth; the moment a midwife helps a newborn to breathe. Through our partnerships, we are revolutionizing health care for the world’s most disadvantaged and vulnerable people. In India, Jhpiego works across various states in close collaboration with national and state governments, providing technical assistance in the areas of family planning, maternal and child health, strengthening human resources for health, and non-communicable diseases. These programs are funded by USAID, the Bill &amp; Melinda Gates Foundation, the David &amp; Lucile Packard Foundation, the Children’s Investment Fund Foundation (CIFF), , and other anonymous donors.</p>

<p>The Program Officer, Bioinformatics, operating under the Senior Advisor for Metagenomics &amp; Lab Systems, will play a pivotal role in leveraging bioinformatics to advance the objectives of the Health Security and AMR program. This position offers a unique opportunity to contribute to cutting-edge genomics research and its application in public health.</p>

<p>More detail at https://jobs-jhpiego.icims.com/jobs/5440/program-officer-%e2%80%93-bio-informatics/job</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27110/easyfig</guid>
	<pubDate>Fri, 29 Apr 2016 05:49:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27110/easyfig</link>
	<title><![CDATA[Easyfig]]></title>
	<description><![CDATA[<p>Easyfig has moved to github, for newer releases of Easyfig please visit our new webpage - https://mjsull.github.io/Easyfig.&nbsp; Easyfig is a Python application for creating linear comparison figures of multiple genomic loci with an easy-to-use graphical user interface (GUI).</p>
<p>More at http://easyfig.sourceforge.net/</p><p>Address of the bookmark: <a href="http://easyfig.sourceforge.net/" rel="nofollow">http://easyfig.sourceforge.net/</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26877/research-fellow-bioinformatics</guid>
  <pubDate>Mon, 04 Apr 2016 05:41:21 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Fellow Bioinformatics]]></title>
  <description><![CDATA[
<p>Research Fellow Bioinformatics<br />Eligibility : BSc(Bio-Tech), MSc(Bio-Tech)<br />Location : Ludhiana<br />Last Date : 19 Apr 2016<br />Hiring Process : Walk - In<br />Punjab Agricultural University</p>

<p>Research Fellow Bioinformatics job opportunities in Punjab Agricultural University<br />Qualification : B.Sc. with minimum OCPA 5.00/10.00 basis or 50% marks. ii. M.Sc. in Biotechnology/ Molecular Biology/Molecular Genetics/Bioinformatics/Genetics/Plant Breeding/Plant Breeding &amp; Genetics with at least 6.50/10.00 or 65% marks. iii. Ph.D. in the relevant field with minimum OCPA 6.50/10.00 or 65% marks<br />Pay Scale : Rs.24000/-<br />Application Fee : A Bank Draft of Rs. 200/- in favour of Comptroller, Punjab Agricultural University, Ludhiana <br /> <br />How to apply<br />Walk in Interview will be held on 26.09.2016 at 11:30 a.m. in the office of the Director, School of Agricultural Biotechnology. No separate information for interview will be sent. No TA/DA will be paid for attending the interview. Candidate Should apply with detailed bio data to this office latest by 19.04.2016</p>

<p>More at http://web.pau.edu/index.php?_act=manageAllBanner&amp;DO=viewAllBanner</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26911/raca-reference-assisted-chromosome-assembly</guid>
	<pubDate>Wed, 06 Apr 2016 09:29:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26911/raca-reference-assisted-chromosome-assembly</link>
	<title><![CDATA[RACA: Reference-Assisted Chromosome Assembly]]></title>
	<description><![CDATA[<p>Rreference-Assisted Chromosome Assembly (RACA), an algorithm to reliably order and orient sequence scaffolds generated by NGS and assemblers into longer chromosomal fragments using comparative genome information and paired-end reads.</p>
<p>http://www.ncbi.nlm.nih.gov/pubmed/23307812</p>
<p>http://bioen-compbio.bioen.illinois.edu/RACA/</p><p>Address of the bookmark: <a href="http://bioen-compbio.bioen.illinois.edu/RACA/" rel="nofollow">http://bioen-compbio.bioen.illinois.edu/RACA/</a></p>]]></description>
	<dc:creator>Priya Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26975/trimmomatic-a-flexible-read-trimming-tool-for-illumina-ngs-data</guid>
	<pubDate>Fri, 15 Apr 2016 05:58:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26975/trimmomatic-a-flexible-read-trimming-tool-for-illumina-ngs-data</link>
	<title><![CDATA[Trimmomatic: A flexible read trimming tool for Illumina NGS data]]></title>
	<description><![CDATA[<h4>Paired End:</h4>
<p><code>java -jar trimmomatic-0.35.jar PE -phred33 input_forward.fq.gz input_reverse.fq.gz output_forward_paired.fq.gz output_forward_unpaired.fq.gz output_reverse_paired.fq.gz output_reverse_unpaired.fq.gz ILLUMINACLIP:TruSeq3-PE.fa:2:30:10 LEADING:3 TRAILING:3 SLIDINGWINDOW:4:15 MINLEN:36</code></p>
<p>This will perform the following:</p>
<ul>
<li>Remove adapters (ILLUMINACLIP:TruSeq3-PE.fa:2:30:10)</li>
<li>Remove leading low quality or N bases (below quality 3) (LEADING:3)</li>
<li>Remove trailing low quality or N bases (below quality 3) (TRAILING:3)</li>
<li>Scan the read with a 4-base wide sliding window, cutting when the average quality per base drops below 15 (SLIDINGWINDOW:4:15)</li>
<li>Drop reads below the 36 bases long (MINLEN:36)</li>
</ul>
<p>More at http://www.usadellab.org/cms/?page=trimmomatic</p><p>Address of the bookmark: <a href="http://www.usadellab.org/cms/?page=trimmomatic" rel="nofollow">http://www.usadellab.org/cms/?page=trimmomatic</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/27046/desai-lab</guid>
  <pubDate>Thu, 21 Apr 2016 10:21:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[Desai Lab]]></title>
  <description><![CDATA[
<p>Evolutionary Dynamics and Population Genetics</p>

<p>Natural selection and other evolutionary forces lead to particular patterns of evolutionary dynamics, and they leave characteristic signatures on the genetic variation within populations.  We use a combination of theory and experiments to study the dynamics and population genetics of natural selection in asexual populations such as microbes and viruses. </p>

<p>We use both theory and experiments to study evolutionary dynamics and population genetics, particularly in situations where natural selection is pervasive.</p>

<p>http://desailab.oeb.harvard.edu/home</p>
]]></description>
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