<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4193?offset=170</link>
	<atom:link href="https://bioinformaticsonline.com/related/4193?offset=170" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/27046/desai-lab</guid>
  <pubDate>Thu, 21 Apr 2016 10:21:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[Desai Lab]]></title>
  <description><![CDATA[
<p>Evolutionary Dynamics and Population Genetics</p>

<p>Natural selection and other evolutionary forces lead to particular patterns of evolutionary dynamics, and they leave characteristic signatures on the genetic variation within populations.  We use a combination of theory and experiments to study the dynamics and population genetics of natural selection in asexual populations such as microbes and viruses. </p>

<p>We use both theory and experiments to study evolutionary dynamics and population genetics, particularly in situations where natural selection is pervasive.</p>

<p>http://desailab.oeb.harvard.edu/home</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27076/ale-a-generic-assembly-likelihood-evaluation-framework-for-assessing-the-accuracy-of-genome-and-metagenome-assemblies</guid>
	<pubDate>Tue, 26 Apr 2016 03:38:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27076/ale-a-generic-assembly-likelihood-evaluation-framework-for-assessing-the-accuracy-of-genome-and-metagenome-assemblies</link>
	<title><![CDATA[ALE: a Generic Assembly Likelihood Evaluation Framework for Assessing the Accuracy of Genome and Metagenome Assemblies]]></title>
	<description><![CDATA[<p>Assembly Likelihood Evaluation (ALE) framework that overcomes these limitations, systematically evaluating the accuracy of an assembly in a reference-independent manner using rigorous statistical methods. This framework is comprehensive, and integrates read quality, mate pair orientation and insert length (for paired-end reads), sequencing coverage, read alignment and k-mer frequency. ALE pinpoints synthetic errors in both single and metagenomic assemblies, including single-base errors, insertions/deletions, genome rearrangements and chimeric assemblies presented in metagenomes. At the genome level with real-world data, ALE identifies three large misassemblies from the Spirochaeta smaragdinae finished genome, which were all independently validated by Pacific Biosciences sequencing. At the single-base level with Illumina data, ALE recovers 215 of 222 (97%) single nucleotide variants in a training set from a GC-rich Rhodobacter sphaeroides genome. Using real Pacific Biosciences data, ALE identifies 12 of 12 synthetic errors in a Lambda Phage genome, surpassing even Pacific Biosciences' own variant caller, EviCons. In summary, the ALE framework provides a comprehensive, reference-independent and statistically rigorous measure of single genome and metagenome assembly accuracy, which can be used to identify misassemblies or to optimize the assembly process.</p>
<p>More at&nbsp;http://www.ncbi.nlm.nih.gov/pubmed/23303509</p><p>Address of the bookmark: <a href="http://sc932.github.io/ALE/about.html" rel="nofollow">http://sc932.github.io/ALE/about.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27092/medea-comparative-genomic-visualization-with-adobe-flash</guid>
	<pubDate>Tue, 26 Apr 2016 12:15:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27092/medea-comparative-genomic-visualization-with-adobe-flash</link>
	<title><![CDATA[MEDEA: Comparative Genomic Visualization with Adobe Flash]]></title>
	<description><![CDATA[<p><span>As the number of sequence and annotated genomes grows larger, the need to understand, compare, and contrast the data becomes increasingly important. Using the power of the human visual system to detect trends and spot outliers is necessary in such large and complex data sets.</span></p>
<p><span>More at&nbsp;http://www.broadinstitute.org/annotation/medea/</span></p><p>Address of the bookmark: <a href="http://www.broadinstitute.org/annotation/medea/" rel="nofollow">http://www.broadinstitute.org/annotation/medea/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27099/rasttk-algorithm-for-building-custom-annotation-pipelines-and-annotating-batches-of-genomes</guid>
	<pubDate>Wed, 27 Apr 2016 11:07:59 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27099/rasttk-algorithm-for-building-custom-annotation-pipelines-and-annotating-batches-of-genomes</link>
	<title><![CDATA[RASTtk : algorithm for building custom annotation pipelines and annotating batches of genomes]]></title>
	<description><![CDATA[<p>The RAST (Rapid Annotation using Subsystem Technology) annotation engine was built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard software pipeline for identifying genomic features (i.e., protein-encoding genes and RNA) and annotating their functions. Recently, in order to make RAST a more useful research tool and to keep pace with advancements in bioinformatics, it has become desirable to build a version of RAST that is both customizable and extensible. In this paper, we describe the RAST tool kit (RASTtk), a modular version of RAST that enables researchers to build custom annotation pipelines. RASTtk offers a choice of software for identifying and annotating genomic features as well as the ability to add custom features to an annotation job. RASTtk also accommodates the batch submission of genomes and the ability to customize annotation protocols for batch submissions. This is the first major software restructuring of RAST since its inception.</p>
<p>More at http://www.nature.com/articles/srep08365</p><p>Address of the bookmark: <a href="http://rast.nmpdr.org/" rel="nofollow">http://rast.nmpdr.org/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/27274/bioinformatics-national-certification-binc-examination-2016</guid>
  <pubDate>Wed, 11 May 2016 02:17:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics National Certification (BINC) Examination 2016]]></title>
  <description><![CDATA[
<p>Bioinformatics National Certification (BINC) Examination 2016</p>

<p>Department of Biotechnology, Government of India, New Delhi &amp; Pondicherry University, Puducherry</p>

<p>Starting of online submission of application : April 13, 2016</p>

<p>Last date for submission of application : May 13, 2016</p>

<p>Examination consists of two parts:</p>

<p>Part - I (Paper - I) : June 12, 2016 (10 AM -12 PM)<br />Part - II (Paper • II &amp; III) : June 26, 2016 (9 AM • 12 PM &amp; 2 PM • 4 PM)</p>

<p>Objective: Pondicherry University, on behalf of the Department of Biotechnology (DBT),<br />Government of India, will conduct the Bioinformatics National Certification (BING) examination. The objective of this examination is to identify Bioinformatics professionals<br />for further studies as well as to help potential employers in recruitment of candidates having exceptionally good Bioinformatics skills.</p>

<p>Eligibility : Bachelor degree in Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences, Agriculture, Veterinary, Medicine, Pharmacy, Engineering and Technology are eligible to appear for the examination. They need not have any formal training, diploma or certificate in Bioinformatics.</p>

<p>Application and syllabus : The online application can be filled from April 13, 2016 to May 13, 2016.</p>

<p>Syllabus for the examination is available online.</p>

<p>It consists of five sections:<br />Bioinformatics, Biology, Physical and Chemical Sciences, Mathematics &amp; Statistics and Computer Science &amp; Information Technology.</p>

<p>Examination : The examination fee is Rs. 600/- for general candidates, Rs. 400/- for women/OBC candidates and Rs. 200 for SC/ST candidates, and no fee for physically challenged candidates.</p>

<p>The online Part - I (Paper - I) examination is scheduled on June 12,2016 and Part- II (Paper - II and Paper- III) on June 26, 2016. The Paper- I will be of objective type and candidates scoring a minimum of 40% marks in Paper - I will be called to appear in Part II examination.</p>

<p>Part II examination consists of two papers : The Paper - II will be of short answer type questions of three hours duration while the Paper- III will be a practical examination of two hours duration to test analytical ability and programming skill of candidates.</p>

<p>Research Fellowships for all the successful candidates those who are interested and qualified in pursuing Ph.D. in India will be awarded. In addition, cash prizes will be  awarded to the top 10 successful candidates.</p>

<p>The details of examination centres, other details and submission of application, please<br />visit: http://www.pondiuni.edu.in/exams/binc/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/27277/binc-2016</guid>
	<pubDate>Wed, 11 May 2016 07:15:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/27277/binc-2016</link>
	<title><![CDATA[BINC 2016]]></title>
	<description><![CDATA[<p>Bioinformatics National Certification (BINC) Examination 2016</p><p>Department of Biotechnology, Government of India, New Delhi &amp; Pondicherry University, Puducherry</p><p>Starting of online submission of application : April 13, 2016</p><p>Last date for submission of application : May 13, 2016</p><p>Examination consists of two parts:</p><p>Part - I (Paper - I) : June 12, 2016 (10 AM -12 PM)<br />Part - II (Paper &bull; II &amp; III) : June 26, 2016 (9 AM &bull; 12 PM &amp; 2 PM &bull; 4 PM)</p><p>Objective: Pondicherry University, on behalf of the Department of Biotechnology (DBT),<br />Government of India, will conduct the Bioinformatics National Certification (BING) examination. The objective of this examination is to identify Bioinformatics professionals<br />for further studies as well as to help potential employers in recruitment of candidates having exceptionally good Bioinformatics skills.</p><p>Eligibility : Bachelor degree in Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences, Agriculture, Veterinary, Medicine, Pharmacy, Engineering and Technology are eligible to appear for the examination. They need not have any formal training, diploma or certificate in Bioinformatics.</p><p>Application and syllabus : The online application can be filled from April 13, 2016 to May 13, 2016.</p><p>Syllabus for the examination is available online.</p><p>It consists of five sections:<br />Bioinformatics, Biology, Physical and Chemical Sciences, Mathematics &amp; Statistics and Computer Science &amp; Information Technology.</p><p>Examination : The examination fee is Rs. 600/- for general candidates, Rs. 400/- for women/OBC candidates and Rs. 200 for SC/ST candidates, and no fee for physically challenged candidates.</p><p>The online Part - I (Paper - I) examination is scheduled on June 12,2016 and Part- II (Paper - II and Paper- III) on June 26, 2016. The Paper- I will be of objective type and candidates scoring a minimum of 40% marks in Paper - I will be called to appear in Part II examination.</p><p>Part II examination consists of two papers : The Paper - II will be of short answer type questions of three hours duration while the Paper- III will be a practical examination of two hours duration to test analytical ability and programming skill of candidates.</p><p>Research Fellowships for all the successful candidates those who are interested and qualified in pursuing Ph.D. in India will be awarded. In addition, cash prizes will be awarded to the top 10 successful candidates.</p><p>The details of examination centres, other details and submission of application, please<br />visit:&nbsp;<a href="http://www.pondiuni.edu.in/exams/binc/">http://www.pondiuni.edu.in/exams/binc/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/poll/view/27279/do-you-think-its-important-for-everyone-to-pass-binc-exam</guid>
	<pubDate>Wed, 11 May 2016 07:25:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/poll/view/27279/do-you-think-its-important-for-everyone-to-pass-binc-exam</link>
	<title><![CDATA[Do you think it's important for everyone to pass BINC exam?]]></title>
	<description><![CDATA[<p><span>The Department of Biotechnology (DBT), Government of India has instituted BINC examination with the objective of evaluating the Bioinformatics knowledge &amp; skills of students. Do you think it is important ?</span></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/27316/sample-binc-question-paper-2016-part1</guid>
	<pubDate>Fri, 13 May 2016 03:41:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/27316/sample-binc-question-paper-2016-part1</link>
	<title><![CDATA[Sample BINC question paper 2016 - part1]]></title>
	<description><![CDATA[<p>Please download the sample bioinformatics question paper for BINC 2016</p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/27316" length="40276" type="application/pdf" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27328/platanus</guid>
	<pubDate>Fri, 13 May 2016 05:12:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27328/platanus</link>
	<title><![CDATA[Platanus]]></title>
	<description><![CDATA[<p>Platanus is a novel <em>de novo</em> sequence assembler that can reconstruct genomic sequences of<br> highly heterozygous diploids from massively parallel shotgun sequencing data.</p>
<p>The latest version is <a href="http://platanus.bio.titech.ac.jp/platanus/?page_id=14">1.2.4</a>.</p>
<p>To cite Platanus, please use the following:</p>
<p>Kajitani R, Toshimoto K, Noguchi H, Toyoda A, Ogura Y, Okuno M, Yabana M, Harada M, Nagayasu E, Maruyama H, Kohara Y, Fujiyama A, Hayashi T, Itoh T, &ldquo;Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short reads&rdquo;.&nbsp;Genome Res. 2014 Aug;24(8):1384-95. doi: 10.1101/gr.170720.113. [<a href="http://www.ncbi.nlm.nih.gov/pubmed/24755901">abstract</a> |<a href="http://genome.cshlp.org/content/24/8/1384.long"> full text</a>]</p><p>Address of the bookmark: <a href="http://platanus.bio.titech.ac.jp/" rel="nofollow">http://platanus.bio.titech.ac.jp/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/27412/navin-lab</guid>
  <pubDate>Wed, 18 May 2016 16:40:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[Navin Lab]]></title>
  <description><![CDATA[
<p>NAvin laboratory has pioneered the development of single cell sequencing technologies.  They apply these tools to study complex biological processes that occur in human cancers including tumor initation, clonal evolution, invasion, metastasis and chemoresistance.  These processes have previously been difficult to study with genomic technologies using bulk tissues</p>

<p>More at http://www.navinlab.com/navinlab/home.html</p>
]]></description>
</item>

</channel>
</rss>