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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/33976?offset=170</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29624/information-officer-at-iiar-gujarat</guid>
  <pubDate>Fri, 04 Nov 2016 05:19:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Information Officer at IIAR, Gujarat]]></title>
  <description><![CDATA[
<p>Walk in interview at 10.30 am on Nov 11th, 2016 for the following position at Distributed Information Sub-Centre (DISC) established by Dept. Of Biotechnology, Govt. of India at Indian Institute of Advanced Research, Gandhinagar, Gujarat</p>

<p>Position (scale), qualifications and experience</p>

<p>1. Information Officer (Rs 8000-275-13500): one post <br />Qualifications and experience: MCA, Post-Graduate in any field of biosciences, bioinformatics with at least two years of experience in working in a bioinformatics setup and good knowledge of linux operating system and computer networking.</p>

<p>General terms and conditions: <br />1. The above engagements is presently till March 31st, 2017. However on extension of project grant and satisfactory performance of the candidate, your services can be extended beyond March 31st, 2017 based on the terms and conditions of extension of project grant.</p>

<p>2. It is not an appointment with the institute and will not confer any right to the incumbent to any claim implicit or explicit on any position.</p>

<p>3.No TA/DA will be paid for attending the interview. Outstation candidates have to make their own arrangement for their stay.</p>

<p>4.Candidates, appearing in the walk-in interview are requested to bring the hard copy of application addressed to Dr. Anju Pappachan with latest photograph, CV mentioning qualifications, work experience and name of two referees and one page write up as to why you would like to join the project.</p>

<p>Address: <br />Dr. Anju Pappachan <br />Indian Institute of Advanced Research (IIAR), <br />University  and Institute of Advanced Research, <br />The Puri Foundation for Education in India, <br />Koba Institutional Area, <br />Gandhinagar- 382 007, Gujarat, India. Contact no. 079-30514152 <br />e-mail- anju@iiar.res.in</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/researchlabs/view/43044/kanthida-lab</guid>
  <pubDate>Wed, 28 Apr 2021 02:27:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[Kanthida Lab !]]></title>
  <description><![CDATA[
<p>Research Interest: </p>

<p>Bioinformatics </p>

<p>High-throughput and high-dimensional data analysis</p>

<p>Microbiome data analysis (Main focus)</p>

<p>Next-generation and third-generation sequencing data analysis for genomics</p>

<p>Gene expression data analysis</p>

<p>Machine learning for biological data</p>

<p>Biomarkers identification </p>

<p>Database and web-application for biological data</p>

<p>More at <br />https://sites.google.com/mail.kmutt.ac.th/kanthida-k/home?authuser=0</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/poll/view/14927/which-of-the-following-programming-language-is-best-for-a-bioinformatics-beginner</guid>
	<pubDate>Thu, 04 Sep 2014 07:51:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/poll/view/14927/which-of-the-following-programming-language-is-best-for-a-bioinformatics-beginner</link>
	<title><![CDATA[Which of the following programming language is best for a bioinformatics beginner?]]></title>
	<description><![CDATA[<p>I will be doing NGS in the course of my research work and I will like to learn a programming language which is compatible with most bioinformatics tools or software. I basically want to do de-novo assembly, map reads, align reads, and expression analysis. Recommendations welcomed. Which languages would you recommend to a student wishing to enter the world of bioinformatics?</p>]]></description>
	<dc:creator>Manisha Mishra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources</guid>
	<pubDate>Thu, 12 Aug 2021 00:09:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources</link>
	<title><![CDATA[Interactive Bioinformatics Resources !]]></title>
	<description><![CDATA[<p>Learn how to use bioinformatics tools right from your browser.<br>Everything runs in a sandbox, so you can experiment all you want.</p>
<p>More at sandbox.bio</p><p>Address of the bookmark: <a href="http://sandbox.bio" rel="nofollow">http://sandbox.bio</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4100/should-you-get-sequenced-not-all-bad-genes-predict-disease</guid>
	<pubDate>Thu, 29 Aug 2013 15:10:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4100/should-you-get-sequenced-not-all-bad-genes-predict-disease</link>
	<title><![CDATA[Should you get sequenced? Not all bad genes predict disease]]></title>
	<description><![CDATA[<p><span>&ldquo;What we really don&rsquo;t know yet is whether the predictive aspects of the genome are going to turn out to be beneficial or potentially harmful&rdquo;</span></p>
<p><span><span>&ldquo;As we roll out genomic medicine we are fighting against this society-wide misconception that having the bad gene means you&rsquo;re going to get the disease. That&rsquo;s only true in a very few cases.&rdquo;</span></span></p>
<p><span><span><strong>Source</strong>:Today Health</span></span></p><p>Address of the bookmark: <a href="http://www.today.com/health/should-you-get-sequenced-not-all-bad-genes-predict-disease-8C11017154" rel="nofollow">http://www.today.com/health/should-you-get-sequenced-not-all-bad-genes-predict-disease-8C11017154</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2726/comparison-of-short-read-de-novo-alignment-algorithms</guid>
	<pubDate>Wed, 21 Aug 2013 07:56:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2726/comparison-of-short-read-de-novo-alignment-algorithms</link>
	<title><![CDATA[Comparison of Short Read De Novo Alignment Algorithms]]></title>
	<description><![CDATA[<p>Excellent article to introduce different sequencing methods along with tools for de novo assembly of sequencing reads and their relevant references.</p>
<p>Title:&nbsp;<strong>Comparison of Short Read De Novo Alignment Algorithms&nbsp;</strong></p>
<p>Author<strong>: Nikhil Gopal</strong></p><p>Address of the bookmark: <a href="http://biochem218.stanford.edu/Projects%202011/Gopal%202011.pdf" rel="nofollow">http://biochem218.stanford.edu/Projects%202011/Gopal%202011.pdf</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6130/rna-bioinformatics-and-high-throughput-analysis-jena</guid>
  <pubDate>Sat, 09 Nov 2013 20:03:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[RNA Bioinformatics and High Throughput Analysis Jena]]></title>
  <description><![CDATA[
<p>Research Topics:</p>

<p>High Throughput Sequencing Analysis<br />Comparative Genomics<br />Identification and Annotation of Non-coding RNAs<br />Bioinformatic Analysis and System Biology of Viruses<br />Coevolution of Proteins and RNAs<br />Algorithmic Bioinformatics<br />Phylogenetic Analysis</p>

<p>http://www.rna.uni-jena.de/index.php</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10093/bio-rad-acquires-gnubio</guid>
	<pubDate>Sat, 19 Apr 2014 10:36:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10093/bio-rad-acquires-gnubio</link>
	<title><![CDATA[Bio-Rad Acquires GnuBIO]]></title>
	<description><![CDATA[<p>http://www.businesswire.com/news/home/20140411005331/en/Bio-Rad-Acquires-GnuBIO-Developer-Droplet-Based-DNA-Sequencing#.U1KXnPm1b8o</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/10246/deadly-human-pathogen-cryptococcus-sequenced</guid>
	<pubDate>Fri, 25 Apr 2014 11:02:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/10246/deadly-human-pathogen-cryptococcus-sequenced</link>
	<title><![CDATA[Deadly Human Pathogen Cryptococcus  Sequenced]]></title>
	<description><![CDATA[<p><span>"Now, researchers have sequenced the entire genome and all the RNA products of the most important pathogenic lineage of Cryptococcus neoformans, a strain called H99. The results, which appear in&nbsp;</span><em>PLOS Genetics</em><span>, also describe a number of genetic changes that can occur after laboratory handling of H99 that make it more susceptible to stress, hamper its ability to sexually reproduce and render it less virulent."</span></p><p><span><strong>Source</strong>:</span></p><p><span>http://www.biosciencetechnology.com/news/2014/04/deadly-human-pathogen-cryptococcus-fully-sequenced</span></p><p><span><strong>Paper</strong>:</span></p><p><span>http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1004292</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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