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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34914?offset=140</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27549/ra-at-university-of-hyderabad</guid>
  <pubDate>Sun, 29 May 2016 11:50:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA at UNIVERSITY OF HYDERABAD]]></title>
  <description><![CDATA[
<p>UNIVERSITY OF HYDERABAD</p>

<p>School of Life Sciences</p>

<p>Department of Animal Biology</p>

<p>Applications are invited on a plane paper (along with copies of educational qualifications and experience) from eligible candidates for the selection of following position to work under a collaborative research project entitled “Development and application of high resolution genome conformation capture technology to investigate genome architecture in space and time” between University of Hyderabad and CR Rao advanced Institute of Mathematics, Statistics and Computer Sciences, sponsored by Department of Biotechnology, Government of India, New Delhi</p>

<p>Name and No. of positions JRF‐ONE</p>

<p>Emoluments for the position Rs. 25,000/p.m. + Eligible HRA</p>

<p>Qualifications MSc or M.Tech in any branch of biology/bioinformatics/computational biology/computer sciences/Mathematics/Physics</p>

<p>Duration Appointments are made initially for ONE year and can be extended further TWO years or until the duration of project</p>

<p>Our laboratory is interested in understanding signalling and spatiotemporal dynamics of 3‐Dimensional genome architecture and gene expression during embryonic stem cell differentiation by utilizing a combination of cellular, molecular genetics, Biochemical and computational tools in combination with next generation sequencing based chromatin structure analysing methods. Successful candidates shall pursue project related to either experimental or computational analysis of genome and Epigenomics data derived from human and mouse cells. Experience in Computational biology, bioinformatics, statistics, machine learning and algorithmic development is required. Knowledge of programming languages (e.g. C, C++, Perl, Python, Ruby etc.) and statistical framework (e.g. R, matlab, etc.) is preferable. Basic understanding of molecular biology will be an added advantage.</p>

<p>Interested candidates with the above mentioned qualification can send their curriculum vitae to   Dr. K. Sreenivasulu, Department of Animal Biology, School of Life Sciences, South campus, University of Hyderabad or via email at positionssklab@gmail.com or svksl@uohyd.ernet.in.</p>

<p>Candidates with CSIR/UGC/ICMR/DBT/BINC qualifications if interested in above mentioned area of research are welcomed to approch principal investigator for a position leading to PhD. Last date for submission of applications is 17/06/2016. Eligible candidates will be called for an interview and they should carry all original certificates of the qualifying exam. No TA/ DA will be paid for attending the interview or at the time of joining the post.</p>

<p>Advertisement: http://www.uohyd.ac.in/images/recruitment/jrf_260516.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29883/ra-bioinformatics-at-school-of-computational-integrative-sciences-jnu-india</guid>
  <pubDate>Fri, 18 Nov 2016 03:57:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at School of Computational &amp; Integrative Sciences, JNU, India]]></title>
  <description><![CDATA[
<p>School of Computational &amp; Integrative Sciences<br />Jawaharlal Nehru University<br />New Delhi – 110067</p>

<p>Date: Nov 11th. 2016                                                            Last Date:  Nov 25th. 2016</p>

<p>PROJECT ID: 632</p>

<p>The following posts are urgently required to be filled for the Department of Biotechnology, Government of India funded project entitled "Computational Core for Plant Metabolomics" administrated by Prof Indira Ghosh,  School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110 067</p>

<p>NB:For all Bioinformatics posts, preference will be given to candidates with a good knowledge of Python and/or R. Knowledge of JAVA will also get a special consideration.</p>

<p>RA / Research Associate (Metabolic engineering/Computational Biologist)</p>

<p>Salary: Rs. 36000/- + HRA<br />Vacancy: 1<br />Essential Qualifications: PhD in  Bioinformatics /Mathematics/Computer Science with experience in analyzing high throughput omics-based data/ system Biology/ Analysis of Network Biology. Published paper in the field is a must to prove the experience.<br />Desired Skills: Prior experience in handling and guiding bioinformatics, metabolomics data, planning of new research area in metabolic driven network , managing the project portal, preparing and filing reports etc. Will be expected to communicate with user groups and coordinate with LIMS group in Hyderabad and the Cheminformatics group in Delhi.</p>

<p>RA / Research Associate (Chemo-informatics/Computational Biologist)</p>

<p>Salary: Rs. 36000/- + HRA<br />Vacancy: 1<br />Essential Qualifications: PhD in Bioinformatics/ computational biology/ Biophysics/Computer Science. Computational and Chemical structure related experience is a necessary qualification proven by paper published and program developed. <br />Desired Skills:  Research experience in Chemical scaffold mapping, in silico Spectral analysis, Biological Database Designing &amp; Integration is required. Individual is responsible to develop methods related to metabolite identification, Testing and refining and integrate LIMS with IIIT Hyderabad and will be expected to communicate with user groups.</p>

<p>Project SRF (Bioinformatics/Programming)</p>

<p>Salary: As per DBT rules<br />Vacancy: 1<br />Essential Qualifications: Masters/B Tech in Basic Sciences with at least 2yrs of research experience in Bioinformatics/Computational Biology related to Database /portal building &amp; maintenance ,high throughput data handling and analysis etc. For M.Sc/B.Tec, Published paper  in peer-reviewed Journal and for M.Tech, thesis submission in computational biology is a must.</p>

<p>More at http://www.jnu.ac.in/Career/currentjobs.htm</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4099/sequencing-solutions-to-world-health</guid>
	<pubDate>Thu, 29 Aug 2013 15:05:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4099/sequencing-solutions-to-world-health</link>
	<title><![CDATA[Sequencing Solutions to World Health]]></title>
	<description><![CDATA[<p>"<em>New technology that quickly, easily and economically reveals the genomes of viruses and pathogens transforms public health and medicine."</em></p>
<p><strong>Source</strong>: Life technologies</p><p>Address of the bookmark: <a href="http://www.lifetechnologies.com/global/en/home/communities-social/blog/blogs/sequencing-solutions-to-world-health.html?cid=social_blogseries_20130829_11098264" rel="nofollow">http://www.lifetechnologies.com/global/en/home/communities-social/blog/blogs/sequencing-solutions-to-world-health.html?cid=social_blogseries_20130829_11098264</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4164/two-major-breakthrough</guid>
	<pubDate>Mon, 02 Sep 2013 10:18:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4164/two-major-breakthrough</link>
	<title><![CDATA[Two major breakthrough!!]]></title>
	<description><![CDATA[<p>"Scientists in Uruguay in colloboration with European partners sequenced the genome of the high-value Tannat grape, from which "the most healthy of red wines" are fermented.</p><p>A quick, $1 syphilis&nbsp;test in development by researchers from UNU-BIOLAC."</p><p><strong>Source</strong>:</p><p><a href="http://www.sciencedaily.com/releases/2013/09/130902101846.htm">http://www.sciencedaily.com/releases/2013/09/130902101846.htm</a></p><p><a href="http://www.eurekalert.org/pub_releases/2013-09/tca-ssg082613.php">http://www.eurekalert.org/pub_releases/2013-09/tca-ssg082613.php</a></p><p>&nbsp;</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/9032/encode-sequencing-data-freely-available-to-download-and-use-for-academic-means</guid>
	<pubDate>Thu, 13 Mar 2014 18:18:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/9032/encode-sequencing-data-freely-available-to-download-and-use-for-academic-means</link>
	<title><![CDATA[Encode sequencing data freely available to download and use for academic means]]></title>
	<description><![CDATA[<p>In <span style="text-decoration: underline;"><strong>Encode</strong></span>,&nbsp;<span>regulatory elements investigated via DNA hypersensitivity assays, assays of DNA methylation, and chromatin immunoprecipitation (ChIP) of proteins that interact with DNA, including modified histones and transcription factors, followed by sequencing (ChIP-Seq).</span></p>
<p><span>More information:</span></p>
<p><span>https://genome.ucsc.edu/ENCODE/pilot.html</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://genome.ucsc.edu/ENCODE/" rel="nofollow">https://genome.ucsc.edu/ENCODE/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10238/tsetse-fly-genome-sequenced</guid>
	<pubDate>Fri, 25 Apr 2014 10:48:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10238/tsetse-fly-genome-sequenced</link>
	<title><![CDATA[Tsetse Fly Genome sequenced]]></title>
	<description><![CDATA[<p><span><span>As it&nbsp;</span><a href="http://www.sciencemag.org/content/344/6182/380" target="_blank">reported online today</a><span>&nbsp;in&nbsp;</span><em>Science</em><span>, the team used several sequencing approaches to tackle the tsetse fly's 366 million base genome.</span></span></p><p><span>The current study, and companion articles slated to appear in&nbsp;</span><em>PLOS One</em><span>,&nbsp;</span><em>PLOS Genetics</em><span>, and&nbsp;</span><em>PLOS Neglected Tropic Diseases</em><span>, are the result of &nbsp;nearly 150 researchers based in 18 countries.</span></p><p><span>Source:</span></p><p><span>http://www.genomeweb.com/sequencing/international-team-sequences-tsetse-fly-genome</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/10739/science-for-life-laboratory-scilifelab-sweden</guid>
  <pubDate>Sat, 10 May 2014 06:22:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[Science for Life Laboratory (SciLifeLab)-Sweden]]></title>
  <description><![CDATA[
<p>Science for Life Laboratory (SciLifeLab) is a national center for molecular biosciences with focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource and a collaboration between four universities: Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University.</p>

<p>Webpage : https://www.scilifelab.se/about-us/<br />Opportunity: https://www.scilifelab.se/about-us/career/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/11644/mirna-database-and-tools</guid>
	<pubDate>Mon, 09 Jun 2014 07:58:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/11644/mirna-database-and-tools</link>
	<title><![CDATA[miRNA database and tools]]></title>
	<description><![CDATA[<p>Since few years miRNA has shown to play important role in therapeutic related research and also known to play vital role in controlling gene expression specifically at transcriptional and post-transcription levels. Here are some important DBs and tools related with miRNA:</p><p><strong>miRNA Sequencing data analysis</strong> :&nbsp;http://tools.genxpro.net/omiras/</p><p><strong>miRNApath( R based tool)&nbsp;</strong>: &nbsp;<a href="http://www.bioconductor.org/packages/release/bioc/html/miRNApath.html">http://www.bioconductor.org/packages/release/bioc/html/miRNApath.html</a></p><p><strong>miRWalk DB</strong> :&nbsp;http://www.umm.uni-heidelberg.de/apps/zmf/mirwalk/</p><p><strong>TargetScanHuman</strong> :&nbsp;http://www.targetscan.org/</p><p><strong>RNAhybrid</strong> :&nbsp;http://bibiserv.techfak.uni-bielefeld.de/rnahybrid/welcome.html</p><p><strong>RNA22 predictor</strong> :&nbsp;http://cbcsrv.watson.ibm.com/rna22.html</p><p><strong>miRNA predictor</strong> :&nbsp;http://www.microrna.org/microrna/home.do</p><p><strong>Plant miRNA DB</strong> :http://bioinformatics.cau.edu.cn/PMRD/</p><p><strong>miRBASE DB</strong>:&nbsp;http://www.mirbase.org/</p><p><strong>Plant RNA predictor</strong> : http://plantgrn.noble.org/psRNATarget/</p><p><strong>miRNA Interaction DB</strong> :&nbsp;http://starbase.sysu.edu.cn/</p><p><strong>Sequencing based miRNA DB</strong> :&nbsp;http://mirgator.kobic.re.kr/</p><p><strong>predicted A-to-I edited miRNA DB </strong>:&nbsp;http://microrna.osumc.edu/mireditar/</p><p><strong>Animal, plant and virus miRNA DB</strong> :&nbsp;http://lemur.amu.edu.pl/share/php/mirnest/</p><p><strong>Atlantic Salmon&nbsp;miRNAs DB </strong>:<strong>&nbsp;</strong>http://www.molgenv.com/ssa_mirnas_db_home.php</p><p><strong>miRNA prediction on UTRs</strong> :&nbsp;http://genie.weizmann.ac.il/pubs/mir07/mir07_prediction.html</p><p><span style="text-decoration: underline;"><strong>Idea of analysing miRNA Sequencing data</strong></span> :</p><p>http://www.illumina.com/applications/epigenetics/small_rna_analysis.ilmn</p><p><strong>More:</strong></p><p><a href="http://www.bioconductor.org/help/search/index.html?q=miRNA+target">http://www.bioconductor.org/help/search/index.html?q=miRNA+target</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23167/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</guid>
	<pubDate>Mon, 06 Jul 2015 08:46:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23167/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</link>
	<title><![CDATA[GraphMap - A highly sensitive and accurate mapper for long, error-prone reads]]></title>
	<description><![CDATA[<p>GraphMap is a novel mapper targeted at aligning long, error-prone third-generation sequencing data.<br>It is&nbsp;<strong>designed to handle Oxford Nanopore MinION 1d and 2d reads</strong>&nbsp;with very high sensitivity and accuracy, and also presents a significant improvement over the state-of-the-art for PacBio read mappers.</p>
<p>GraphMap was also designed for ease-of-use: the&nbsp;<strong>default parameters</strong>&nbsp;can handle a wide range of read lengths and error profiles, including:&nbsp;<em>Illumina</em>,&nbsp;<em>PacBio</em>&nbsp;and&nbsp;<em>Oxford Nanopore</em>.<br>This is an especially important feature for technologies where the error rates and error profiles can vary widely across, or even within, sequencing runs.</p>
<p><a href="http://biorxiv.org/content/early/2015/06/10/020719">http://biorxiv.org/content/early/2015/06/10/020719</a></p><p>Address of the bookmark: <a href="https://github.com/isovic/graphmap" rel="nofollow">https://github.com/isovic/graphmap</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</guid>
	<pubDate>Wed, 15 Jun 2016 18:08:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27841/covcal-coverage-read-count-calculator</link>
	<title><![CDATA[CovCal: Coverage / Read Count Calculator]]></title>
	<description><![CDATA[<h2>Coverage / Read Count Calculator</h2>
<h4>Calculate how much sequencing you need to hit a target depth of coverage (or vice versa).</h4>
<p><span>Instructions:</span> set the read length/configuration and genome size, then select what you want to calculate.</p>
<p>Written by <a href="http://stephenturner.us/" target="blank">Stephen Turner</a>, based on the <a href="http://www.ncbi.nlm.nih.gov/pubmed/3294162" target="_blank">Lander-Waterman formula</a>, inspired by <a href="http://core-genomics.blogspot.com/2016/05/how-many-reads-to-sequence-genome.html" target="_blank">a similar calculator</a> written by James Hadfield. Coverage is calculated as <em>C=LN/G</em> and reads as <em>N=CG/L</em> where <em>C</em> = Coverage (X),<em>L</em> = Read length (bp), <em>G</em> = Haploid genome size (bp), and <em>N</em> = Number of reads. Source code <a href="https://github.com/stephenturner/covcalc" target="_blank">on GitHub</a>.</p><p>Address of the bookmark: <a href="http://apps.bioconnector.virginia.edu/covcalc/" rel="nofollow">http://apps.bioconnector.virginia.edu/covcalc/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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