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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/27967?offset=1020</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud</guid>
	<pubDate>Thu, 20 Aug 2015 02:21:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23892/bioinformatics-made-easy-search-bioinformatics-tools-and-run-genomic-analysis-in-the-cloud</link>
	<title><![CDATA[Bioinformatics Made Easy Search: Bioinformatics tools and run genomic analysis in the cloud]]></title>
	<description><![CDATA[<p>InsideDNA makes hundreds of bioinformatics tools immediately available to run via an easy-to-use web interface and allows an accurate search across all functions, tools and pipelines.</p>
<p>With InsideDNA, you can upload and store your own genomic/genetic datasets in a limitless cloud space, and instantly analyze it with a powerful compute instance, without any tool installation or set up hassle.</p>
<p>More at https://insidedna.me/</p><p>Address of the bookmark: <a href="https://insidedna.me/" rel="nofollow">https://insidedna.me/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38199/pacasus-correction-of-palindromes-in-long-reads-from-pacbio-and-nanopore</guid>
	<pubDate>Mon, 12 Nov 2018 05:26:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38199/pacasus-correction-of-palindromes-in-long-reads-from-pacbio-and-nanopore</link>
	<title><![CDATA[Pacasus: Correction of palindromes in long reads from PacBio and Nanopore]]></title>
	<description><![CDATA[<p><br>Tool for detecting and cleaning PacBio / Nanopore long reads after whole genome amplification. Check the poster from the Revolutionizing Next-Generation Sequencing (2nd edition) conference in the source folder:&nbsp;<a href="https://github.com/swarris/Pacasus/blob/master/vib2017.pdf">https://github.com/swarris/Pacasus/blob/master/vib2017.pdf</a>.</p>
<p>The prepint version is found on&nbsp;<a href="http://www.biorxiv.org/content/early/2017/08/09/173872">http://www.biorxiv.org/content/early/2017/08/09/173872</a></p>
<p>It uses the pyPaSWAS framework for sequence alignment (<a href="https://github.com/swarris/pyPaSWAS">https://github.com/swarris/pyPaSWAS</a>)</p><p>Address of the bookmark: <a href="https://github.com/swarris/Pacasus" rel="nofollow">https://github.com/swarris/Pacasus</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24036/jrf-position-%E2%80%93-international-institute-of-information-technology-hyderabad</guid>
  <pubDate>Mon, 24 Aug 2015 22:44:46 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Position – International Institute of Information Technology, Hyderabad]]></title>
  <description><![CDATA[
<p>International Institute of Information Technology, Hyderabad</p>

<p>Center for Computational Natural Sciences and Bioinformatics</p>

<p>Junior Research Fellowship Position</p>

<p>Applications are invited for one JRF position in the following DAE sponsored project.</p>

<p>Title of the project: Insight into the Structure–Function Relationships of Chemically Modified Nucleic Acids: A Molecular Dynamics Simulations Study.</p>

<p>The above project involves theoretical modelling and simulations on chemically modified nucleic acids to investigate their structures, dynamics and thermodynamic stabilities.</p>

<p>Desired qualification: M.Sc. in Chemistry/ Bioinformatics; GATE/UGC-CSIR NET qualification.</p>

<p>To apply: Send detailed curriculum vitae by e-mail to the following address on or before 31 August 2015: Prof. U. Deva Priyakumar (devalab@iiit.ac.in), CCNSB, IIIT-H, Gachibowli, Hyderabad 500 032.</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40544/ngs-bits-short-read-sequencing-tools</guid>
	<pubDate>Thu, 16 Jan 2020 23:14:00 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40544/ngs-bits-short-read-sequencing-tools</link>
	<title><![CDATA[ngs-bits - Short-read sequencing tools]]></title>
	<description><![CDATA[<p>Binaries of&nbsp;<em>ngs-bits</em>&nbsp;are available via Bioconda. Alternatively,&nbsp;<em>ngs-bits</em>&nbsp;can be built from sources:</p>
<ul>
<li><span>Binaries</span>&nbsp;for&nbsp;<a href="https://github.com/imgag/ngs-bits/blob/master/doc/install_bioconda.md">Linux/macOS</a></li>
<li>From&nbsp;<span>sources</span>&nbsp;for&nbsp;<a href="https://github.com/imgag/ngs-bits/blob/master/doc/install_unix.md">Linux/macOS</a></li>
<li>From&nbsp;<span>sources</span>&nbsp;for&nbsp;<a href="https://github.com/imgag/ngs-bits/blob/master/doc/install_win.md">Windows</a></li>
</ul><p>Address of the bookmark: <a href="https://github.com/imgag/ngs-bits" rel="nofollow">https://github.com/imgag/ngs-bits</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/24264/cancer-research-database</guid>
	<pubDate>Tue, 01 Sep 2015 17:36:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/24264/cancer-research-database</link>
	<title><![CDATA[Cancer research database]]></title>
	<description><![CDATA[<p>Researchers in Andhra Pradesh have developed a database to identify genes that are common in tumours to provide their colleagues with easy access to insights into the genetic alterations in cancer.<br /> &nbsp;<br /> The database, hosted at the Sri Venkateswara University (SVU) in Tirupati, will integrate information on cancer genes and markers with experimental data.<br /> &nbsp;<br /> The <a href="http://cgmd.in/" target="_blank">Cancer Gene Markers Database</a> (CGMD) is meant to help scientists better understand tumour genes and markers at a molecular level by combining data with literature on treatment regimen and recent advances in cancer therapy.<br /> <br /> The database is free to access, and already includes 309 genes and 206 markers that correspond to 40 different human cancers. Accompanying literature comes from databases such as the United States&rsquo; <a href="http://www.ncbi.nlm.nih.gov/" target="_blank">National Center for Biotechnology Information</a> and the <a href="http://www.genome.jp/kegg/" target="_blank">Kyoto Encyclopedia of Genes and Genomes</a>. It also includes experimental data from <a href="http://www.ncbi.nlm.nih.gov/pubmed" target="_blank">PubMed</a>.<br /> <br /> In a paper <a href="http://dx.doi.org/10.1038/srep12035" target="_blank">published</a> last month in <em>Nature Scientific Reports</em>, the researchers from SVU&rsquo;s department of animal biotechnology, describes the need for a database for different genes and markers along with their molecular characteristics and pathway associations.</p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41188/nextflow-data-driven-computational-pipelines</guid>
	<pubDate>Thu, 20 Feb 2020 00:10:12 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41188/nextflow-data-driven-computational-pipelines</link>
	<title><![CDATA[Nextflow: Data-driven computational pipelines]]></title>
	<description><![CDATA[<p>Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages.</p>
<p>Its fluent DSL simplifies the implementation and the deployment of complex parallel and reactive workflows on clouds and clusters.</p>
<p>More at&nbsp;<a href="https://github.com/nextflow-io/nextflow">https://github.com/nextflow-io/nextflow</a></p>
<p><img src="https://github.com/nextflow-io/trademark/raw/master/nextflow2014_no-bg.png" alt="image" style="border: 0px;"></p><p>Address of the bookmark: <a href="https://www.nextflow.io/" rel="nofollow">https://www.nextflow.io/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24363/walk-in-interview-for-srf-jrf-posts-at-national-research-centre-on-plant-biotechnology-new-delhi-110012</guid>
  <pubDate>Thu, 10 Sep 2015 15:58:55 -0500</pubDate>
  <link></link>
  <title><![CDATA[Walk-in-interview for SRF, JRF posts at NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY New Delhi-110012]]></title>
  <description><![CDATA[
<p>NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY New Delhi-110012</p>

<p>Eligible candidates may appear in Walk-in-interview for the positions of Senior Research Fellow in ICAR funded projects as follows</p>

<p>ICAR Network Project on Transgenics in Crops- Amelioration of cold induced sweetening in potato.</p>

<p>PI: Dr Debasis Pattanayak </p>

<p>SRF</p>

<p>Rs.25000/‐+ 30% HRA</p>

<p>September 29, 2015</p>

<p>Essential: Master’s Degree in Bioinformatics /Biotechnology/ Biochemistry/ life sciences with four years Bachelor’s Degree (or) Master’s Degree in Bioinformatics /Biotechnology/Biochemistry/ life sciences with NET qualification. .</p>

<p>Desirable: Experience in Bioinformatics and programming.</p>

<p>Age Limit: 35 years max. (5 years relaxation for SC/ST/OBC and woman candidates as per ICAR rules).</p>

<p>The post is purely temporary in nature and is co-terminus with the project. The interview will be held on September 29, 2015 at 10 AM at NRCPB, LBS Building, Pusa Campus, and New Delhi-110012. The candidates must bring four copies of biodata, original certificates, attested photocopies of each of the certificates and an attested copy of recent passport size photograph.</p>

<p>No TA/DA would be given for the appearance in interview. Only the candidates having essential qualifications would be entertained for the interviews </p>

<p>http://www.nrcpb.org/sites/default/files/NPTC%20walk%20in%20interview%20September%202015%20for%20NRCPB%20webpage%20D%20%20%20Pattanayak.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/2267/added-video-feature-in-bol</guid>
	<pubDate>Tue, 13 Aug 2013 17:42:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/2267/added-video-feature-in-bol</link>
	<title><![CDATA[Added video feature in BOL]]></title>
	<description><![CDATA[<p>Just in: Added video features in BOL, now you can watch and share your&nbsp;favourite bioinformatics video tutorials.</p><p>Share your favourite video tutorial or lectures on BOL at http://bioinformaticsonline.com/videolist/all . You can also add video in you groups.</p><p>Note: Other than bioinformatics video material/tutorial will be deleted without any prior warning.</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24464/guest-faculty-job-vacancies-in-pondicherry-university</guid>
  <pubDate>Tue, 22 Sep 2015 23:50:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[Guest Faculty Job vacancies in Pondicherry University]]></title>
  <description><![CDATA[
<p>Guest Faculty Job vacancies in Pondicherry University<br />Qualification : M.Phil. / M.Tech. / M.Sc. in Computer Science / Master of Computer Applications with a minimum of 55% of marks. Candidates with Ph.D. degree and NET/SLET qualification will be given preference as per UGC norms.</p>

<p>Desirable : Research or teaching experience in Bioinformatics and Computational Biology.<br />Honorarium : Rs. 1,000/- per lecture (subject to a maximum of 25,000/- per month)<br />How to apply</p>

<p>Interested eligible candidates may attend the 'walk-in' interview along with all original certificates and testimonials with a copy of their bio-data. Walk-in-interview will be held on 28.09.2015 (Monday), 03:00 P.M. at the office of the Dean, School of Life Sciences, Science Block — I, Pondicherry University, Puducherry — 605 014. Candidates reporting after 03:00 P.M. will not be entertained.</p>

<p>More at http://www.pondiuni.edu.in/news/walk-interview-guest-faculty-centre-bioinformatics</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23516/visual-machine-learning</guid>
	<pubDate>Wed, 29 Jul 2015 04:29:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23516/visual-machine-learning</link>
	<title><![CDATA[Visual machine learning !!!]]></title>
	<description><![CDATA[<p>In machine learning, computers apply <strong>statistical learning</strong> techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions.</p>
<p>More at http://www.r2d3.us/visual-intro-to-machine-learning-part-1/</p><p>Address of the bookmark: <a href="http://www.r2d3.us/visual-intro-to-machine-learning-part-1/" rel="nofollow">http://www.r2d3.us/visual-intro-to-machine-learning-part-1/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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