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	<title><![CDATA[BOL: Related items]]></title>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/22567/rosalind-problem-solution-with-perl</guid>
	<pubDate>Tue, 09 Jun 2015 23:35:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/22567/rosalind-problem-solution-with-perl</link>
	<title><![CDATA[Rosalind Problem Solution with Perl]]></title>
	<description><![CDATA[<p>Rosalind is a platform for learning bioinformatics and programming through problem solving. <a href="http://rosalind.info/problems/list-view/?location=bioinformatics-textbook-track">Take a tour</a> to get the hang of how Rosalind works.</p><p>Bioinformatics Textbook Track</p><p>Find more about Rosalind puzzle at http://rosalind.info/problems/list-view/?location=bioinformatics-textbook-track</p><p>I will provide solution of all the Rosalind problem with Perl for community.</p><p>Check out the right sidebar for more links ...</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/22793/sequencing-by-xpansion</guid>
	<pubDate>Wed, 17 Jun 2015 20:58:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/22793/sequencing-by-xpansion</link>
	<title><![CDATA[Sequencing By Xpansion]]></title>
	<description><![CDATA[<p>Sequencing By Xpansion (SBX) is a DNA sequencing method that uses a simple biochemical reaction to encode the sequence of a DNA molecule into a highly measurable surrogate called an Xpandomer. This single molecule approach produces enough Xpandomer in a single drop reaction to sequence an entire human genome 1000X over. To achieve this, an Xpandomer replaces each DNA sequence with a sequence of large, high signal reporter molecules using the SBX molecular expansion technology. The DNA sequence is then read out as the Xpandomer reporters pass sequentially through a nanopore detector. SBX is a molecular engineering platform that benefits from core design principles that separate the multiple molecular functions. This systems approach enables efficient development and incorporation of improvements to SBX and is key to reconfiguring and optimizing Xpandomer measurement for different detection platforms.</p><p>http://www.stratosgenomics.com/stratos-genomics-technology</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/23149/raphael-lab</guid>
  <pubDate>Sat, 04 Jul 2015 19:05:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[Raphael Lab]]></title>
  <description><![CDATA[
<p>Raphael Lab research is focused on Bioinformatics and Computational Biology.</p>

<p>Current research interests include next-generation DNA sequencing, structural variation, genome rearrangements in cancer and evolution, and network analysis of somatic mutations in cancer. Earlier research included topics in comparative genomics, multiple sequence alignment, and motif finding.</p>

<p>More athttp://compbio.cs.brown.edu/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23379/jrf-in-bioinformatics-tezpur-universityn</guid>
  <pubDate>Fri, 17 Jul 2015 19:42:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF in Bioinformatics @ Tezpur Universityn]]></title>
  <description><![CDATA[
<p>Tezpur University: Napaam – 784 028:</p>

<p>Assam Applications are invited for Walk-in-Interview for the following temporary positions in the MHRD sponsored Centre of Excellence under FAST project entitled “Machine Learning Research and Big Data Analysis” under the Principal Investigator Professor D.K. Bhattacharyya, Department of Computer Science &amp; Engineering, Tezpur University.</p>

<p>Position : Senior Research Fellows (SRFs) in the field of (i) Bioinformatics (ii) Natural Language Processing / Speech Processing (iii) Cognitive Radio Networks / Optical Networks (iv) Network Security. No. of Positions : Five (05).</p>

<p>Qualification : First class in ME / M. Tech. in CSE / IT / ECE with research experience in relevant fields of research. Candidates having valid GATE / NET score shall be preferred.</p>

<p>Fellowship : Rs. 18,000/- (Rupees Eighteen Thousand) only per month.</p>

<p>Duration : Two (02) years and may be extended depending on status of the project.</p>

<p>Position : Junior Research Fellows (JRFs) in the field of Bioinformatics</p>

<p>No. of Positions : One (01).</p>

<p>Qualification : First class in B. Tech. in CSE / IT/ ECE or MCA with consistently good academic records. Candidates with M. Tech. in CSE / IT / ECE shall be preferred.</p>

<p>Fellowship : Rs. 12,000/- (Rupees twelve Thousand) only per month.</p>

<p>Duration : Two (02) years and may be extended depending on status of the project.</p>

<p>Interested candidates may send their application on plain paper by post along with his/her educational qualifications, research experience certificates (for Senior Research Fellow), 02 copies of recent passport/stamp size photograph and contact phone number to Prof. D.K. Bhattacharyya, Principal Investigator, Department of Computer Science &amp; Engineering, Tezpur University, Napaam- 784028 or mail it to dkb@tezu.ernet.in (or to smh@tezu.ernet.in) within 15 days of publication of this advertisement.</p>

<p>Advertisement: www.tezu.ernet.in/ProjectWalkin/Advt_CoE_5816-A.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/23959/bioinformatics-jokes</guid>
	<pubDate>Fri, 21 Aug 2015 01:26:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/23959/bioinformatics-jokes</link>
	<title><![CDATA[Bioinformatics Jokes !!]]></title>
	<description><![CDATA[<p>Why was the Bioinformatics fired from his job?</p><p>A: He was getting too Sassy.</p><p>&nbsp;</p><p>What did the bioinformatician say when he found out his team stopped using version control?</p><p>A: Y&rsquo;all better Git!</p><p>&nbsp;</p><p>Why did the computational biologist stay home from work?</p><p>A: He had a code!</p><p>&nbsp;</p><p>Why was the bioinformatician's paper was rejected?</p><p>A: Journal thought it seemed scripted.</p><p>&nbsp;</p><p>How can you tell that a Bioinformatics is working?</p><p>A: You can hear him Grunting!</p><p>&nbsp;</p><p>Why bioinformatician always silence?</p><p>A: Because bioinformatician calmly whisper, &ldquo;SSH&rdquo;</p><p>&nbsp;</p><p>Why was the bioinformatician always so sleepy?</p><p>A: He/She wasn&rsquo;t given any Java.</p><p>&nbsp;</p><p>Why did the program/software hanged?</p><p>A: Because genome float.</p><p>&nbsp;</p><p>Why was the class upset that its parent died?</p><p>A: Because it wouldn&rsquo;t be getting the inheritance!</p><p>&nbsp;</p><p>Why did bioinformatician always works on the command line?</p><p>A: Because they don't want to scare you with huge amount of data!</p><p>&nbsp;</p><p>Why did the bioinformatician attend the gay pride parade?</p><p>A: They supported polymorphism.</p><p>&nbsp;</p><p>Why did bioinformatician prefer awk, PerlOneliner?</p><p>A: Because even computer can't handle to load the data.</p><p>&nbsp;</p><p>Why don&rsquo;t bioinformatician get along with others?</p><p>A: They&rsquo;re too MEAN.</p><p>&nbsp;</p><p>Why computational biologist are cool?</p><p>A: Because they are scripted!!</p><p>&nbsp;</p><p>Why they talk $ unzip; strip; touch; finger; grep; mount; fsck; more; yes; fsck; fsck; umount; clean; sleep;</p><p>A: Ah, Ohhh, dude, these are *NIX commands</p><p>&nbsp;</p><p>Did they really hack genome?</p><p>A: Yes, I guess so.</p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26525/ensembl-comparative-genomics-resources</guid>
	<pubDate>Sun, 28 Feb 2016 17:10:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26525/ensembl-comparative-genomics-resources</link>
	<title><![CDATA[Ensembl comparative genomics resources]]></title>
	<description><![CDATA[<div>
<p>The Ensembl comparative genomics resources are one such reference set that facilitates comprehensive and reproducible analysis of chordate genome data. Ensembl computes pairwise and multiple whole-genome alignments from which large-scale synteny, per-base conservation scores and constrained elements are obtained. Gene alignments are used to define Ensembl Protein Families, GeneTrees and homologies for both protein-coding and non-coding RNA genes. These resources are updated frequently and have a consistent informatics infrastructure and data presentation across all supported species. Specialized web-based visualizations are also available including synteny displays, collapsible gene tree plots, a gene family locator and different alignment views. The Ensembl comparative genomics infrastructure is extensively reused for the analysis of non-vertebrate species by other projects including Ensembl Genomes and Gramene and much of the information here is relevant to these projects. The consistency of the annotation across species and the focus on vertebrates makes Ensembl an ideal system to perform and support vertebrate comparative genomic analyses. We use robust software and pipelines to produce reference comparative data and make it freely available.</p>
<p><strong>Database URL:</strong> <a href="http://www.ensembl.org" target="pmc_ext">http://www.ensembl.org</a>.</p>
</div><p>Address of the bookmark: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761110/" rel="nofollow">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4761110/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26319/n50plottingtools</guid>
	<pubDate>Mon, 08 Feb 2016 15:39:04 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26319/n50plottingtools</link>
	<title><![CDATA[n50PlottingTools]]></title>
	<description><![CDATA[<p><span>Tools to create plots showing N-statistics for genome assemblies </span></p>
<p><span>More at https://github.com/dentearl/n50PlottingTools</span></p><p>Address of the bookmark: <a href="https://github.com/dentearl/n50PlottingTools" rel="nofollow">https://github.com/dentearl/n50PlottingTools</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26453/stacks</guid>
	<pubDate>Wed, 24 Feb 2016 15:52:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26453/stacks</link>
	<title><![CDATA[Stacks]]></title>
	<description><![CDATA[<p>Stacks is a software pipeline for building loci from short-read sequences, such as those generated on the Illumina platform. Stacks was developed to work with restriction enzyme-based data, such as RAD-seq, for the purpose of building genetic maps and conducting population genomics and phylogeography.</p>
<p>More at http://catchenlab.life.illinois.edu/stacks/</p><p>Address of the bookmark: <a href="http://catchenlab.life.illinois.edu/stacks/" rel="nofollow">http://catchenlab.life.illinois.edu/stacks/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26543/breakseq2</guid>
	<pubDate>Mon, 29 Feb 2016 17:45:38 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26543/breakseq2</link>
	<title><![CDATA[BreakSeq2]]></title>
	<description><![CDATA[<p>Ultrafast and accurate nucleotide-resolution analysis of structural variants</p>
<p>More at http://bioinform.github.io/breakseq2/</p>
<p>Download BreakSeq2</p>
<p>Latest version: https://github.com/bioinform/breakseq2/archive/2.2.tar.gz<br><br>For other versions, see "releases". https://github.com/bioinform/breakseq2/releases</p><p>Address of the bookmark: <a href="http://bioinform.github.io/breakseq2/" rel="nofollow">http://bioinform.github.io/breakseq2/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26852/awesome-bioinformatics-pipelines</guid>
	<pubDate>Wed, 30 Mar 2016 21:50:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26852/awesome-bioinformatics-pipelines</link>
	<title><![CDATA[Awesome bioinformatics pipelines !]]></title>
	<description><![CDATA[<p><span>A curated list of awesome pipeline toolkits ...</span></p>
<p><span>https://github.com/pditommaso/awesome-pipeline</span></p><p>Address of the bookmark: <a href="https://github.com/pditommaso/awesome-pipeline" rel="nofollow">https://github.com/pditommaso/awesome-pipeline</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>

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