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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27090?offset=1080</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37776/rhat-a-seed-and-extension-based-noisy-long-read-alignment-tool</guid>
	<pubDate>Sun, 23 Sep 2018 05:12:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37776/rhat-a-seed-and-extension-based-noisy-long-read-alignment-tool</link>
	<title><![CDATA[rHAT: a seed-and-extension-based noisy long read alignment tool]]></title>
	<description><![CDATA[<p><span>rHAT is a seed-and-extension-based noisy long read alignment tool. It is suitable for aligning 3rd generation sequencing reads which are in large read length with relatively high error rate, especially Pacbio's Single Molecule Read-time (SMRT) sequencing reads.</span></p><p>Address of the bookmark: <a href="https://github.com/dfguan/rHAT" rel="nofollow">https://github.com/dfguan/rHAT</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22028/walk-in-for-research-asst-programmer-enterovirus-research-centre-mumbai-india</guid>
  <pubDate>Tue, 14 Apr 2015 12:36:51 -0500</pubDate>
  <link></link>
  <title><![CDATA[Walk in for Research Asst &amp; Programmer Enterovirus Research Centre Mumbai - India]]></title>
  <description><![CDATA[
<p>Enterovirus Research Centre Mumbai Jobs 2015 –</p>

<p>Walk in for Research Asst &amp; Programmer Posts: Enterovirus Research Centre, Mumbai, Indian Council of Medical Research has issued notification for the recruitment of Research Asst &amp; Programmer vacancies on temporary basis for the project entitled “An Atlas of Non-Polio Enterovirus Types Isolated from Cases of Acute Flaccid Paralysis in India”. Eligible candidates may walk in on 20-04-2015 from 10:00 AM to 12:00 Noon. Other details like age limit, educational qualification, how to apply are given below…</p>

<p>Enterovirus Research Centre Mumbai Vacancy Details:<br />Total No. of Posts: 04<br />Name of the Posts:<br />1. Research Assistant: 03 Posts<br />2. Programmer: 01 Post</p>

<p>Age Limit: Candidates age should below 28 years. Age relaxations are applicable as per rules.</p>

<p>Educational Qualification: Candidates should have M.Sc (1st Class) in Microbiology/ Bioinformatics/ Biotechnology/ Life Science for post 1, BE/ B.Tech/ MCA for post 2.</p>

<p>Selection Process: Candidates are selected based on their performance in interview.</p>

<p>How to Apply: Eligible candidates may attend for interview along with original certificates, CV, attested copies of relevant certificates, one recent passport size photograph duly affixed on right side of application at Enterovirus Research Centre, Mumbai, Indian Council of Medical Research, Haffkine Institute Cmpound, Acharya Donde Marg, Parel, Mumbai-400012 on 20-04-2015 from 10:00 AM to 12:00 Noon.</p>

<p>Important Dates:<br />Date &amp; Time of Interview: 20-04-2015 from 10:00 AM to 12:00 Noon.<br />Registration Time: 12:00 Noon.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38749/clipcrop-a-tool-for-detecting-structural-variations-with-single-base-resolution-using-soft-clipping-information</guid>
	<pubDate>Sun, 20 Jan 2019 06:34:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38749/clipcrop-a-tool-for-detecting-structural-variations-with-single-base-resolution-using-soft-clipping-information</link>
	<title><![CDATA[ClipCrop: a tool for detecting structural variations with single-base resolution using soft-clipping information]]></title>
	<description><![CDATA[<p><span>ClipCrop for detecting SVs with single-base resolution using soft-clipping information. A soft-clipped sequence is an unmatched fragment in a partially mapped read. To assess the performance of ClipCrop with other SV-detecting tools, we generated various patterns of simulation data &ndash; SV lengths, read lengths, and the depth of coverage of short reads &ndash; with insertions, deletions, tandem duplications, inversions and single nucleotide alterations in a human chromosome.&nbsp;</span></p><p>Address of the bookmark: <a href="https://github.com/shinout/clipcrop" rel="nofollow">https://github.com/shinout/clipcrop</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/22050/binc-sample-question-paper</guid>
	<pubDate>Thu, 16 Apr 2015 09:15:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/22050/binc-sample-question-paper</link>
	<title><![CDATA[BINC Sample Question Paper !!!]]></title>
	<description><![CDATA[<p>BINC sample question paper round THREE ...</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/22050" length="316" type="text/plain" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40707/vt-a-variant-tool-set-that-discovers-short-variants-from-next-generation-sequencing-data</guid>
	<pubDate>Tue, 28 Jan 2020 03:44:43 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40707/vt-a-variant-tool-set-that-discovers-short-variants-from-next-generation-sequencing-data</link>
	<title><![CDATA[vt: a variant tool set that discovers short variants from Next Generation Sequencing data.]]></title>
	<description><![CDATA[<p><span>vt is a variant tool set that discovers short variants from Next Generation Sequencing data.</span></p>
<p><span><a href="https://genome.sph.umich.edu/wiki/Vt">https://genome.sph.umich.edu/wiki/Vt</a></span></p>
<p><a href="https://github.com/atks/vt">https://github.com/atks/vt</a></p><p>Address of the bookmark: <a href="https://genome.sph.umich.edu/wiki/Vt" rel="nofollow">https://genome.sph.umich.edu/wiki/Vt</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22130/senior-research-fellow-srf-bioinformatics-at-central-institute-for-research-on-buffaloes</guid>
  <pubDate>Sat, 18 Apr 2015 04:30:47 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow (SRF) Bioinformatics at Central Institute for Research on Buffaloes]]></title>
  <description><![CDATA[
<p>Senior Research Fellow (SRF) Bioinformatics at Central Institute for Research on Buffaloes<br />Address: Central Institute for Research on Buffaloes, Sirsa Road, Hisar<br />State: Haryana<br />Pay Scale: Post Graduate in subjects other than Veterinary Science Rs. 16000/- per month for 1st and 2nd year and Rs. 18000/- per month for 3rd year. Post Graduate in Veterinary Science Rs. 18000/- per month for 1st and 2nd Year and Rs. 20000/- per month for 3rd year.<br />Educational Requirements: Master’s degree in biotechnology/animal biotechnology, veterinary/animal biochemistry, veterinary microbiology or veterinary/animal physiology/Nano Technology/Bioinformatics or related area.<br />Qualifications: Ph.D in relevant field/experience of working in any research project<br />Details will be available at: http://www.cirb.res.in/attachments/195_Walk-in-Interview%20for%20Senior%20Research%20Fellow%20%28SRF%29%20%28On%20Dated%2020.4.2015%29.pdf<br />How To Apply: Interested candidates who fulfill the above conditions should report for interview with a copy of their bio-data, photocopy and original certificates and testimonials, other related material i.e. reports, documents, articles, etc., if any.<br />Date &amp; Time of Interview: 20.04.2015 at 11.00 hrs<br />Venue: CIRB, Hisar</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41669/filtlong-quality-filtering-tool-for-long-reads</guid>
	<pubDate>Wed, 13 May 2020 10:23:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41669/filtlong-quality-filtering-tool-for-long-reads</link>
	<title><![CDATA[Filtlong: quality filtering tool for long reads]]></title>
	<description><![CDATA[<p>Filtlong is a tool for filtering long reads by quality. It can take a set of long reads and produce a smaller, better subset. It uses both read length (longer is better) and read identity (higher is better) when choosing which reads pass the filter.</p>
<p>Filtlong builds into a stand-alone executable:</p>
<pre><code>git clone https://github.com/rrwick/Filtlong.git
cd Filtlong
make -j
bin/filtlong -h
</code></pre><p>Address of the bookmark: <a href="https://github.com/rrwick/Filtlong" rel="nofollow">https://github.com/rrwick/Filtlong</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22236/savitribai-phule-pune-university-recruitment-for-04-jrf-post-in-april-2015</guid>
  <pubDate>Mon, 27 Apr 2015 20:28:59 -0500</pubDate>
  <link></link>
  <title><![CDATA[Savitribai Phule Pune University Recruitment for 04 JRF Post in April 2015]]></title>
  <description><![CDATA[
<p>Savitribai Phule Pune University announced application for recruitment to the post of Junior Research Fellow. The candidates for the post can apply through prescribed format before 10 May 2015.<br />Description:</p>

<p>Important Date &amp; Details</p>

<p>Closing Date for Registration: 10 May 2015</p>

<p>Details of Post</p>

<p>Name of Post: Junior Research Fellow- 04 Posts</p>

<p>Pay Scale: Rs. 12,000 or 16,00+ HRA Post Graduate degree with NET (16,000+HRA) Post Graduate Degree (12,000+HRA)</p>

<p>Eligibility Criteria: M.Sc. in Microbiology/Marine Microbiology/ Marine Biotechnology/Biotechnology/Bioinformatics/Zoology or equivalent degree with minimum 60% marks or equivalent grade</p>

<p>Age Limit- Not more than 28 years</p>

<p>Organisation Name: Savitribai Phule Pune University<br />Eligibility for the post:</p>

<p>Selection Procedure: The selection procedure is through personal interview. No TA/DA will be paid for appearing in the interview.</p>

<p>How to Apply: The candidates may send their application along with CV to the Head Department of Zoology, Savitribai Phule University on or before 10 May 2015.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41916/truvari-structural-variant-comparison-tool-for-vcfs</guid>
	<pubDate>Tue, 30 Jun 2020 21:30:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41916/truvari-structural-variant-comparison-tool-for-vcfs</link>
	<title><![CDATA[truvari: Structural variant comparison tool for VCFs]]></title>
	<description><![CDATA[<p>Structural variant comparison tool for VCFs</p>
<p>Given benchmark and comparsion sets of SVs, calculate the recall, precision, and f-measure.</p>
<p><a href="https://github.com/spiralgenetics/www.spiralgenetics.com">Spiral Genetics</a></p>
<p><a href="https://docs.google.com/presentation/d/17mvC1XOpOm7khAbZwF3SgtG2Rl4M9Mro37yF2nN7GhE/edit">Motivation</a></p><p>Address of the bookmark: <a href="https://github.com/spiralgenetics/truvari" rel="nofollow">https://github.com/spiralgenetics/truvari</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42155/clustergrammer-is-a-web-based-tool-for-visualizing-high-dimensional-data-as-an-interactive-and-shareable-hierarchically-clustered-heatmap</guid>
	<pubDate>Sun, 23 Aug 2020 19:30:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42155/clustergrammer-is-a-web-based-tool-for-visualizing-high-dimensional-data-as-an-interactive-and-shareable-hierarchically-clustered-heatmap</link>
	<title><![CDATA[Clustergrammer is a web-based tool for visualizing high-dimensional data as an interactive and shareable hierarchically clustered heatmap]]></title>
	<description><![CDATA[<p><span>Clustergrammer is a web-based tool for visualizing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap. Clustergrammer's front end (</span><a href="http://clustergrammer.readthedocs.io/clustergrammer_js.html#clustergrammer-js">Clustergrammer-JS</a><span>) is built using&nbsp;</span><a href="https://d3js.org/">D3.js</a><span>&nbsp;and its back-end (</span><a href="http://clustergrammer.readthedocs.io/clustergrammer_py.html#clustergrammer-py">Clustergrammer-PY</a><span>) is built using Python. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several biology-specific features (e.g. enrichment analysis, see&nbsp;</span><a href="http://clustergrammer.readthedocs.io/biology_specific_features.html#biology-specific-features">Biology-Specific Features</a><span>) to facilitate the exploration of gene-level biological data.&nbsp;</span></p><p>Address of the bookmark: <a href="https://github.com/MaayanLab/clustergrammer" rel="nofollow">https://github.com/MaayanLab/clustergrammer</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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