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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/12787?offset=170</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25302/ra-bioinformatics-at-jamia-hamdard</guid>
  <pubDate>Sat, 28 Nov 2015 03:37:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at Jamia Hamdard]]></title>
  <description><![CDATA[
<p>Research Associate, Bioinformatics Facility<br />Jamia Hamdard - New Delhi, Delhi<br />Research Associate, Bioinformatics Facility, Jamia Hamdard.<br />Emoluments: Rs. 22,000 + HRA 30%<br />Qualification: PhD or equivalent or having 3 years of research, teaching and design and development experience after M. Pharm./M.VSc./M.E./M.Tech. PhD in life sciences and related areas with experience in Bioinformatics may apply. Company Info.<br />Jamia Hamdard</p>

<p>Jamia Hamdard New Delhi - 110062 Additional Information States &amp; U.T State &amp; Union Territories Delhi How To Apply Apply Details<br />Last date of application: December 5, 2015 Web/Notification URL http://www.jamiahamdard.ac.in/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26569/genome-stability-laboratory</guid>
  <pubDate>Mon, 07 Mar 2016 04:16:32 -0600</pubDate>
  <link></link>
  <title><![CDATA[Genome Stability Laboratory]]></title>
  <description><![CDATA[
<p>The bakers yeast, Saccharomyces cerevisiae is an ideal model organism to understand mechanisms of meiotic chromosome segregation. In S. cerevisiae and in mammals, the majority of meiotic crossovers are formed through a highly conserved MSH4p-MSH5p, MLH1p-MLH3p dependent pathway. We are interested in charactering the role of these complexes in crossover formation and distribution among all homolog pairs. Errors in this process are linked to congenital birth defects in humans such as Down's syndrome.Our laboratory is also interested in understanding the effect of genetic background on mutation rate variation using S. cerevisiae as a model. These studies are relevant for understanding cancer progression, genome evolution and architecture. We use high- throughput genomic methods as well as classical genetics to achieve these aims. </p>

<p>More at http://faculty.iisertvm.ac.in/~nishantkt/index.html</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25504/uas-dharwad-assistant-professor</guid>
  <pubDate>Fri, 04 Dec 2015 21:06:23 -0600</pubDate>
  <link></link>
  <title><![CDATA[UAS Dharwad Assistant Professor]]></title>
  <description><![CDATA[
<p>UNIVERSITY OF AGRICULTURAL SCIENCES, DHARWAD</p>

<p>Applications are invited in the prescribed form for filling up the following posts of Teachers and Service Personnel from the candidates who are qualified as on the last date fixed for receipt of applications in the University of Agricultural Sciences, Dharwad.</p>

<p>I. ASSISTANT PROFESSOR CADRE (Scale of pay Rs.15600-39100 + AGP Rs. 6000) (UGC / ICAR pay-scales)</p>

<p>I. Re-notified posts:</p>

<p>9. Assistant Professor of Bioinformatics 1 GM-1</p>

<p>More Info : https://sites.google.com/a/uasd.in/recruitment/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26499/katju-lab</guid>
  <pubDate>Fri, 26 Feb 2016 03:25:32 -0600</pubDate>
  <link></link>
  <title><![CDATA[Katju Lab]]></title>
  <description><![CDATA[
<p>TheLab seek to understand the genetic factors contributing to genomic variation and phenotypic diversity.  To this end, we employ molecular and bioinformatic tools to study evolutionary processes at the level of populations, both experimental and natural, and genomes.  Our research interests encompass a wide range of topics, including the evolution of organellar and nuclear genomes, gene duplication and the origin of novel function, and the fitness and phenotypic consequences of mutation in evolution. For details regards ongoing projects, please see the Research page.</p>

<p>http://katjulab.com/research.html</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26250/research-fellow-bioinformatics-at-central-university-of-rajasthan</guid>
  <pubDate>Tue, 02 Feb 2016 00:04:50 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Fellow Bioinformatics at Central University of Rajasthan]]></title>
  <description><![CDATA[
<p>Research Fellow Bioinformatics</p>

<p>Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech)<br />Location : Ajmer<br />Last Date : 13 Feb 2016<br />Hiring Process : Face to Face Interview<br />Central University of Rajasthan</p>

<p>Research Fellow Job vacancies in Central University of Rajasthan</p>

<p>Project Title : “Development of natural product derived febrifugine ananlogues as a novel therapeutics against visceral leishmaniasis”</p>

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

<p>Qualification : Master of Biochemistry, Biotechnology, Bioinformatics and related biological sciences with minimum 55%, Age limit as per government rule.</p>

<p>Desirable Experience : Candidates with experience in cell culture, Chemoinformatics, and Parasitology will be preferred.    </p>

<p>Fellowship : Rs. 25,000/- p.m. consolidated for NET qualified (14,000/- p.m. consolidated for Non-NET)<br />How to apply</p>

<p>The candidates may apply on a plain paper, along with their curriculum vitae (including name, date of birth, academic qualification starting from 10th class, summary of research experience, email id, phone number and passport size photograph) and email to vkprajapati@curaj.ac.in or post the hard copy to the Dr. Vijay Kumar Prajapati PI, DST-SERB Project (YSS/2015/000716), Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Dist- Ajmer, Rajasthan, 305 817 on or before 13th February 2016.</p>

<p>More at http://www.curaj.ac.in/Default.aspx?PageId=241</p>
]]></description>
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<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/bookmarks/view/26537/destruct</guid>
	<pubDate>Mon, 29 Feb 2016 17:34:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26537/destruct</link>
	<title><![CDATA[destruct]]></title>
	<description><![CDATA[<p>Destruct is a tool for joint prediction of rearrangement breakpoints from single or multiple tumour samples.</p>
<p>More at&nbsp;https://bitbucket.org/dranew/destruct</p><p>Address of the bookmark: <a href="https://bitbucket.org/dranew/destruct" rel="nofollow">https://bitbucket.org/dranew/destruct</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</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/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/26925/reapr-a-universal-tool-for-genome-assembly-evaluation</guid>
	<pubDate>Wed, 06 Apr 2016 18:26:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26925/reapr-a-universal-tool-for-genome-assembly-evaluation</link>
	<title><![CDATA[REAPR: a universal tool for genome assembly evaluation]]></title>
	<description><![CDATA[<p>REAPR is a tool that evaluates the accuracy of a genome assembly using mapped paired end reads, without the use of a reference genome for comparison. It can be used in any stage of an assembly pipeline to automatically break incorrect scaffolds and flag other errors in an assembly for manual inspection. It reports mis-assemblies and other warnings, and produces a new broken assembly based on the error calls.</p>
<p>The software requires as input an assembly in FASTA format and paired reads mapped to the assembly in a BAM file. Mapping information such as the fragment coverage and insert size distribution is analysed to locate mis-assemblies. REAPR works best using mapped read pairs from a large insert library (at least 1000bp). Additionally, if a short insert Illumina library is also available, REAPR can combine this with the large insert library in order to score each base of the assembly.</p>
<p>http://www.sanger.ac.uk/science/tools/reapr</p><p>Address of the bookmark: <a href="https://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-5-r47" rel="nofollow">https://genomebiology.biomedcentral.com/articles/10.1186/gb-2013-14-5-r47</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
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