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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26925?offset=1230</link>
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  <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>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26568/research-scientist-at-iit-madras</guid>
  <pubDate>Mon, 07 Mar 2016 04:06:13 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Scientist at IIT Madras]]></title>
  <description><![CDATA[
<p>Research Scientist/Project Associate/Project Assistant Jobs opportunity in Indian Institute of Technology Madras (IIT Madras)</p>

<p>Research Scientist</p>

<p>Qualification : Ph.D in any branch of life science or bioinformatics or computational biology Experience : Previous experience in Molecular Biology, Cell Biology, Biochemistry and Genome/big data analysis is desirable but not mandatory</p>

<p>No. of Vacancy : 02</p>

<p>Project Associate</p>

<p>Qualification : MSc in any branch of life science Experience Previous experience in Molecular Biology, Cell Biology and Biochemistry is desirable but not mandatory</p>

<p>No. of Vacancy : 02</p>

<p>Project Assistant</p>

<p>Qualification : BSc in any branch of life science or chemical science Experience Previous experience any branch in Life science, Molecular Biology, Cell Biology and Biochemistry is desirable but not mandatory</p>

<p>No. of Vacancy : 03<br />How to apply</p>

<p>Interested candidates can forward their profiles to email id: nctb@iitm.ac.in latest by 18th March, 2016</p>

<p>More at https://www.iitm.ac.in/content/national-cancer-tissue-bio-bank-department-biotechnology-iitm-chennai-vacancy-various-post<br />https://www.iitm.ac.in/sites/default/files/notices/vacancy.pdf</p>
]]></description>
</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/bookmarks/view/26380/hicdat</guid>
	<pubDate>Fri, 12 Feb 2016 05:23:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26380/hicdat</link>
	<title><![CDATA[HiCdat]]></title>
	<description><![CDATA[<p>HiCdat: a fast and easy-to-use Hi-C data analysis tool</p>
<p>HiCdat is easy-to-use and provides solutions starting from aligned reads up to in-depth analyses. Importantly, HiCdat is focussed on the analysis of larger structural features of chromosomes, their correlation to genomic and epigenomic features, and on comparative studies. It uses simple input and output formats and can therefore easily be integrated into existing workflows or combined with alternative tools.</p>
<p>More at http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0678-x</p><p>Address of the bookmark: <a href="https://github.com/MWSchmid/HiCdat" rel="nofollow">https://github.com/MWSchmid/HiCdat</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26409/ucsc-genome-browser-and-blat-software</guid>
	<pubDate>Thu, 18 Feb 2016 03:18:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26409/ucsc-genome-browser-and-blat-software</link>
	<title><![CDATA[UCSC Genome Browser and Blat software !]]></title>
	<description><![CDATA[<p>This directory contains Genome Browser and Blat application binaries built for standalone <br>command-line use on various supported Linux and UNIX platforms. To determine which set of binaries <br>to download, type "uname -a" on the command line to display your machine type. In most cases the <br>usage statement for the application can be viewed by running the binary with no arguments. <br><br>The UCSC Genome Browser and Blat software are free for academic, nonprofit, and personal use. A <br>license is required for commercial download and installation of these binaries, with the exception <br>of items built from the following source code directories, which are freely available for all uses:<br><br>&nbsp;- kent/src/utils (includes big* tools)<br>&nbsp;- kent/src/lib<br>&nbsp;- kent/src/hg/autoSql<br>&nbsp;- kent/src/hg/autoXml<br><br>For information about commercial licensing of the Genome Browser software, see <br>http://genome.ucsc.edu/license/. The Blat and In-Silico PCR software may be commercially<br>licensed through Kent Informatics (http://www.kentinformatics.com).</p>
<p>More at http://hgdownload.cse.ucsc.edu/admin/exe/</p><p>Address of the bookmark: <a href="http://hgdownload.cse.ucsc.edu/admin/exe/" rel="nofollow">http://hgdownload.cse.ucsc.edu/admin/exe/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26456/the-mills-lab</guid>
  <pubDate>Wed, 24 Feb 2016 16:18:38 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Mills lab]]></title>
  <description><![CDATA[
<p>The laboratory is focused on the discovery and analysis of structural variation (SVs) from genomic sequence data. As part of the 1000 Genomes Project and other endeavors, we have helped produce initial fine-scale maps using a variety of SV discovery approaches including: (i) paired-end mapping (or read pair analysis) based on abnormally mapped pairs of clone ends; (ii) read-depth analysis, which detects deletions and duplications through analysis of the read depth-of-coverage; (iii) split read analysis, which detects SVs by evaluating gapped sequence alignments; and (iv) sequence assembly, which enables the discovery of novel (non-reference) sequence insertions.</p>

<p>http://millslab.org/research.html</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26573/efficient-genome-searching-with-biostrings-and-the-bsgenome-data-package</guid>
	<pubDate>Mon, 07 Mar 2016 05:18:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26573/efficient-genome-searching-with-biostrings-and-the-bsgenome-data-package</link>
	<title><![CDATA[Efficient genome searching with Biostrings and the BSgenome data package]]></title>
	<description><![CDATA[<p>Address of the bookmark: <a href="https://www.bioconductor.org/packages/3.3/bioc/vignettes/BSgenome/inst/doc/GenomeSearching.pdf" rel="nofollow">https://www.bioconductor.org/packages/3.3/bioc/vignettes/BSgenome/inst/doc/GenomeSearching.pdf</a></p>]]></description>
	<dc:creator>Aasha</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26712/post-doctoral-fellow-jobs-opportunity-in-srm-university</guid>
  <pubDate>Thu, 17 Mar 2016 11:20:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[Post-Doctoral Fellow Jobs opportunity in SRM University]]></title>
  <description><![CDATA[
<p>Post-Doctoral Fellow Jobs opportunity in SRM University</p>

<p>Essential qualification : Ph.D. in Bioinformatics/Biotechnology/Genetics/Computational Biology.Understanding of genomics data and advanced knowledge of Java, and C/C++ as the programming languages and the scripting language like perl and/or Python, SQL is preferred. Experience in High Performance Computing, data architecture, database development is desirable</p>

<p>Fellowship: Rs 35,000 /-<br /> <br />How to apply</p>

<p>Candidates are requested to send their CV, and a brief summary of research experience by e-mail careers.genetics@ktr.srmuniv.ac.in  on or before 30/03/2016.</p>

<p>More at http://www.srmuniv.ac.in/jobs-applications-for-position-of-post-doctoral-fellow</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26850/wellcome-trustdbt-india-alliance-margdarshi-fellowships-2016</guid>
  <pubDate>Tue, 29 Mar 2016 17:47:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Wellcome Trust/DBT India Alliance Margdarshi Fellowships 2016]]></title>
  <description><![CDATA[
<p>The Wellcome Trust/DBT India Alliance invites application for the Margdarshi Fellowship scheme. The scheme provides a unique opportunity for visionary biomedical scientists to lead and nucleate a cutting edge research program in India in collaboration with Indian Host Institution(s). The potential candidates and the Host Institution are encouraged to make a synergistic effort towards establishing a centre of excellence that aims to improve the existing scientific breadth and utilizes the experience of the lead applicant for developing new research platforms. In addition to this, under this programme two eligible Indian institutions may also come together towards creating a new program under the leadership of a visionary scientist.</p>

<p>Eligibility</p>

<p>Interested applicants must</p>

<p>Have around 10 years of experience as independent investigator, and can be of any age or nationality<br />Have Sponsor(s) at not-for-profit Host Institution(s) in India, who is willing to extend the desired commitment and resources for program implementation<br />Provisions</p>

<p>The 5 year Fellowship provides</p>

<p>Generous personal support for the Fellow<br />Salary support for personnel, which may include Assistant Professors<br />Large quantum of funds for equipment, animals and consumables<br />Funds to attend scientific gatherings, for collaborative visits and to organize meetings<br />Overheads for the Host Institution<br />Process</p>

<p>A joint online application is invited from the Applicant and the Sponsor(s). The details of the scheme and the funding mechanism are available on the website at http://wellcomedbt.org/fellowshiptype/margdarshi-fellowships.</p>

<p>Application form can be accessed at https://fellowships.wellcomedbt.org/Login.aspx</p>

<p>Sponsored applications due by 2 May 2016</p>

<p>Send your inquiries to margdarshi@wellcomedbt.org</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26915/phd-programme-in-computational-biology</guid>
  <pubDate>Wed, 06 Apr 2016 11:47:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[Ph.D. Programme in Computational Biology]]></title>
  <description><![CDATA[
<p>Ph.D. Programme in Computational Biology</p>

<p>For students interested in frontier research at the interface of biology, computation, physics and applied mathematics</p>

<p>IMSc is a leader in India in fundamental research in theoretical physics, mathematics and theoretical computer science, with several members actively pursuing research in interdisciplinary areas including computational biology.   In 2013 IMSc started a unique Ph.D. programme in this subject, training students to apply cutting-edge computational and mathematical techniques to problems in modern biology, in collaboration with leading biology departments and institutions in India and abroad.  <br />IMSc  is an autonomous national research institute under the Department of Atomic Energy, Government of India, and a constituent institution of the Homi Bhabha National Institute (HBNI), Mumbai (a deemed university).   Ph.D. degrees will be awarded by HBNI.<br />STRUCTURE OF PROGRAMME<br />Before embarking on their research, students have three semesters of coursework, which consists of seven core courses, to be carried out at IMSc; elective courses, which may be taken at IMSc or at other institutions by mutual consent; and lab rotations, at collaborating labs in other institutions. The core coursework covers essentials of modern biology, essential techniques from physics, mathematics, statistics and computer science, physics of proteins and biomolecules, biological sequence analysis and algorithms, and systems biology. Elective coursework covers various topics in greater depth. Following the coursework and a comprehensive examination, students will embark on research leading to a Ph.D. degree.<br />Selected candidates will be research fellows at IMSc and will receive fellowships, housing or house rent allowance, and contingency grants.</p>

<p>More at http://www.imsc.res.in/graduate_programme_0</p>
]]></description>
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