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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27430?offset=1500</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19729/senior-scientist-agricultural-bio-informatics-one-post</guid>
  <pubDate>Wed, 24 Dec 2014 05:01:02 -0600</pubDate>
  <link></link>
  <title><![CDATA[Senior Scientist (Agricultural Bio-informatics) (One post)]]></title>
  <description><![CDATA[
<p>Agricultural Scientists Recruitment Board</p>

<p>Qualifications Essential:<br />Doctoral degree in Bio-informatics/ Biotechnology/Molecular Biology and Biotechnology/Life Sciences/ Computer Sciences with specialization in Bio-informatics including relevant basic sciences with 8 years’ experience in the relevant subject as Scientist/Lecturer or in an equivalent position in the Pay Band- 3 of 15600-39100 with Grade Pay of 5400/6000/7000/8000 having made contribution to research/teachin/extension education as evidenced by published work/innovations and impact. </p>

<p>OR </p>

<p>Doctoral degree in the above subject(s) including relevant basic sciences with minimum 8 years’ experience of high quality post-doctoral research in an institution/organization as evidenced by at least 6 publications in journals with NAAS rating of 7.5 or above.</p>

<p>Desirable:<br />(i) Specialization and experience: Knowledge of software development and its application in crop bioinformatics, experience in handling ‘omies’data. <br />(ii) Teaching experience in relevant subject</p>

<p>The Secretary, Agricultural Scientists Recruitment Board, Indian Council of Agricultural Research Krishi Anusandhan Bhavan-I, Pusa New Delhi –110 012, India</p>

<p>Detailed eligibility criteria with how to apply information can be had at:<br />http://www.indiastudychannel.com/jobs/333467-Indian-Council-of-Agricultural-Research-looking-for-Assistant-Director-General.aspx</p>

<p>More at http://asrb.org.in/administrator/uploads_dir/1418978057english.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42917/fings-filters-for-next-generation-sequencing</guid>
	<pubDate>Sat, 27 Feb 2021 01:18:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42917/fings-filters-for-next-generation-sequencing</link>
	<title><![CDATA[FiNGS: Filters for Next Generation Sequencing]]></title>
	<description><![CDATA[<h2>Key features</h2>
<ul>
<li><strong>Filters SNVs from any variant caller to remove false positives</strong></li>
<li><strong>Calculates metrics based on BAM files and provides filtering not possible with other tools</strong></li>
<li><strong>Fully user-configurable filtering (including which filters to use and their thresholds)</strong></li>
<li><strong>Option to use filters identical to ICGC recommendations</strong></li>
</ul>
<p>FiNGS provides researchers with a tool to reproducibly filter somatic variants that is simple to both deploy and use, with filters and thresholds that are fully configurable by the user. It ingests and emits standard variant call format (VCF) files and will slot into existing sequencing pipelines. It allows users to develop and implement their own filtering strategies and simple sharing of these with others.</p>
<p>FiNGS reliably improves upon the precision of default variant caller outputs and performs better than other tools designed for the same task.</p><p>Address of the bookmark: <a href="https://github.com/cpwardell/FiNGS" rel="nofollow">https://github.com/cpwardell/FiNGS</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19820/rstudio</guid>
	<pubDate>Sat, 27 Dec 2014 06:50:58 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19820/rstudio</link>
	<title><![CDATA[RStudio]]></title>
	<description><![CDATA[<p>RStudio IDE is a powerful and productive user interface for R. It&rsquo;s free and open source, and works great on Windows, Mac, and Linux.</p>
<p>The developers and expert trainers are the authors of several popular R packages, including ggplot2, plyr, lubridate, and others.</p>
<p>More at http://www.rstudio.com/</p>
<p>http://www.rstudio.com/products/RStudio/</p><p>Address of the bookmark: <a href="http://www.rstudio.com/" rel="nofollow">http://www.rstudio.com/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/34711/1mb-long-dna-with-nanopore-technology</guid>
	<pubDate>Tue, 19 Dec 2017 18:49:28 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/34711/1mb-long-dna-with-nanopore-technology</link>
	<title><![CDATA[1mb long DNA with Nanopore technology]]></title>
	<description><![CDATA[<p>The first continuous DNA read of more than a million bases (&gt;1Mb) has been achieved, using Oxford Nanopore sequencing technology. Congratulations to Martin Smith and collaborators! Read more: http://bit.ly/2j5TNCO</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19980/seqloc-06</guid>
	<pubDate>Sun, 28 Dec 2014 12:51:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19980/seqloc-06</link>
	<title><![CDATA[seqloc 0.6]]></title>
	<description><![CDATA[<p>The <code>Bio.SeqLoc</code> modules in <code>seqloc</code> are designed to represent positions and locations (ranges of positions) on sequences, particularly nucleotide sequences. My original motivation for writing these packages was handing the locations of genes in eukaryotic genomes.</p>
<p>Handle sequence locations for bioinformatics http://www.ingolia-lab.org/seqloc-tutorial.html</p><p>Address of the bookmark: <a href="http://www.stackage.org/snapshot/nightly-2014-12-28/package/seqloc-0.6" rel="nofollow">http://www.stackage.org/snapshot/nightly-2014-12-28/package/seqloc-0.6</a></p>]]></description>
	<dc:creator>Gudiya Pal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37835/variantbam-filtering-and-profiling-of-next-generational-sequencing-data-using-region-specific-rules</guid>
	<pubDate>Thu, 04 Oct 2018 16:30:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37835/variantbam-filtering-and-profiling-of-next-generational-sequencing-data-using-region-specific-rules</link>
	<title><![CDATA[VariantBam: Filtering and profiling of next-generational sequencing data using region-specific rules]]></title>
	<description><![CDATA[<p>VariantBam is a tool to extract/count specific sets of sequencing reads from next-generational sequencing files. To save money, disk space and I/O, one may not want to store an entire BAM on disk. In many cases, it would be more efficient to store only those read-pairs or reads who intersect some region around the variant locations. Alternatively, if your scientific question is focused on only one aspect of the data (e.g. breakpoints), many reads can be removed without losing the information relevant to the problem.</p>
<h5>&nbsp;</h5><p>Address of the bookmark: <a href="https://github.com/broadinstitute/VariantBam" rel="nofollow">https://github.com/broadinstitute/VariantBam</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20271/research-associate-tata-memorial-centre-advanced-centre-for-treatment-research-and-education-in-cancer-kharghar-navi-mumbai</guid>
  <pubDate>Thu, 08 Jan 2015 20:53:57 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate	@ TATA MEMORIAL CENTRE ADVANCED CENTRE FOR TREATMENT, RESEARCH AND EDUCATION IN CANCER KHARGHAR, NAVI MUMBAI]]></title>
  <description><![CDATA[
<p>TATA MEMORIAL CENTRE ADVANCED CENTRE FOR TREATMENT, RESEARCH AND EDUCATION IN CANCER KHARGHAR, NAVI MUMBAI – 410210</p>

<p>Website: www.actrec.gov.in; Ph: 27405000</p>

<p>No. ACTREC/Advt./ 66 /2014 23rd December, 2014<br />Research Associate	</p>

<p>International Cancer Genome Consortium (ICGC) - India Project (IRB Project No. 3 A/c. No. 2408)</p>

<p>Dr. Rajiv Sarin</p>

<p>Duration of the Project: One year Extendable up to Three years.</p>

<p>Consolidated Salary: Rs. 42,000/- p.m.</p>

<p>Application last date: 8th January, 2015.</p>

<p>Interview Date &amp; Time: 21st January, 2015, at 11.00 a.m.</p>

<p>Venue: Conference Room, 3rd floor, Khanolkar Shodhika, ACTREC.</p>

<p>Essential Qualifications and Experience:</p>

<p>Ph.D (any branch of Life Sciences)</p>

<p>The candidate must have at least one year experience after Ph.D., preferably in Genomics and Molecular Biology.</p>

<p>Candidates fulfilling these requirements should pre register themselves by sending their application in the prescribed format with recent CV and contact details of 2 referees by e-mail to icgc@actrec.gov.in latest 8th January, 2015 by 10.00 a.m.</p>

<p>Candidates shortlisted for the interview will be intimated by email on or before 9th January, 2015.</p>

<p>The interviews would be held on 21st January 2015 and will be only for the pre registered candidates who have been shortlisted.<br />No T.A./D.A. will be admissible for attending the interview.</p>

<p>At the time of Interview the candidate should bring original certificates along with CV with contact details of 2 referees and submit the photocopies (attested) of the certificates, with a recent passport size photograph.</p>

<p>Advertisement: www.actrec.gov.in/data%20files/2014/Walk-in-Research-Fellow-26-12-14.doc</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38535/nanopack-visualizing-and-processing-long-read-sequencing-data</guid>
	<pubDate>Tue, 25 Dec 2018 21:20:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38535/nanopack-visualizing-and-processing-long-read-sequencing-data</link>
	<title><![CDATA[NanoPack: visualizing and processing long-read sequencing data]]></title>
	<description><![CDATA[The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible with Linux, Mac OS and the MS Windows 10 subsystem for Linux and are available as a graphical user interface, a web service at http://nanoplot.bioinf.be and command line tools.<p>Address of the bookmark: <a href="https://github.com/wdecoster/nanopack" rel="nofollow">https://github.com/wdecoster/nanopack</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/20471/bioinformatics-scripts</guid>
	<pubDate>Thu, 22 Jan 2015 22:29:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/20471/bioinformatics-scripts</link>
	<title><![CDATA[Bioinformatics Scripts]]></title>
	<description><![CDATA[<p>Some of the useful bioinformatics scripts.</p>
<p>For example ... contig-stats.pl is a Perl script that will automatically describe features of a sequence assembly.</p>
<p>http://milkweedgenome.org/?q=scripts</p><p>Address of the bookmark: <a href="http://milkweedgenome.org/?q=scripts" rel="nofollow">http://milkweedgenome.org/?q=scripts</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40754/understanding-your-reads-and-mapping</guid>
	<pubDate>Wed, 29 Jan 2020 06:29:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40754/understanding-your-reads-and-mapping</link>
	<title><![CDATA[Understanding your reads and mapping !]]></title>
	<description><![CDATA[<p>One of the best tutorial for beginners ...</p>
<p>https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html</p><p>Address of the bookmark: <a href="https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html" rel="nofollow">https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

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