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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31566?offset=870</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40814/accesssyri-finding-genomic-rearrangements-and-local-sequence-differences-from-whole-genome-assemblies</guid>
	<pubDate>Sat, 01 Feb 2020 13:38:49 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40814/accesssyri-finding-genomic-rearrangements-and-local-sequence-differences-from-whole-genome-assemblies</link>
	<title><![CDATA[AccessSyRI: finding genomic rearrangements and local sequence differences from whole-genome assemblies]]></title>
	<description><![CDATA[<p><span>Access</span><span>SyRI: finding genomic rearrangements and</span><span>local sequence differences from whole-</span><span>genome assemblies</span><span><br></span></p>
<p><span><span>SyRI, a pairwise whole-genome comparison tool for chromosome-level assemblies. SyRI starts by finding rearranged regions and then searches for differences in the sequences, which are distinguished for residing in syntenic or rearranged regions. This distinction is important as rearranged regions are inherited differently compared to syntenic regions.</span></span></p>
<p><span><a href="https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1911-0">https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1911-0</a></span></p><p>Address of the bookmark: <a href="https://github.com/schneebergerlab/syri" rel="nofollow">https://github.com/schneebergerlab/syri</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41959/rna-bloom-a-fast-and-memory-efficient-de-novo-transcript-sequence-assembler</guid>
	<pubDate>Thu, 09 Jul 2020 03:13:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41959/rna-bloom-a-fast-and-memory-efficient-de-novo-transcript-sequence-assembler</link>
	<title><![CDATA[RNA-Bloom: a fast and memory-efficient de novo transcript sequence assembler]]></title>
	<description><![CDATA[<p><strong>RNA-Bloom</strong><span>&nbsp;</span>is a fast and memory-efficient<span>&nbsp;</span><em>de novo</em><span>&nbsp;</span>transcript sequence assembler. It is designed for the following sequencing data types:</p>
<ul>
<li>single-end/paired-end bulk RNA-seq (strand-specific/agnostic)</li>
<li>paired-end single-cell RNA-seq (strand-specific/agnostic)</li>
<li>nanopore RNA-seq (PCR cDNA/direct cDNA/direct RNA)</li>
</ul>
<p>Written by<span>&nbsp;</span><a>Ka Ming Nip</a><span>&nbsp;</span>✉️</p><p>Address of the bookmark: <a href="https://github.com/bcgsc/RNA-Bloom" rel="nofollow">https://github.com/bcgsc/RNA-Bloom</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44529/contigextender-a-new-approach-to-improving-de-novo-sequence-assembly-for-viral-metagenomics-data</guid>
	<pubDate>Wed, 08 May 2024 07:32:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44529/contigextender-a-new-approach-to-improving-de-novo-sequence-assembly-for-viral-metagenomics-data</link>
	<title><![CDATA[ContigExtender: a new approach to improving de novo sequence assembly for viral metagenomics data]]></title>
	<description><![CDATA[<p dir="auto">ContigExtender, was developed to extend contigs, complementing de novo assembly. ContigExtender employs a novel recursive Overlap Layout Candidates (r-OLC) strategy that explores multiple extending paths to achieve longer and highly accurate contigs. ContigExtender is effective for extending contigs significantly in in silico synthesized and real metagenomics datasets.</p>
<p dir="auto">More at&nbsp;https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953547/</p>
<p dir="auto"><a href="https://camo.githubusercontent.com/72dc78177cd84dd0c667a2922a9fd984fb548b5ec94b11f9a547211a4adba3b1/68747470733a2f2f692e696d6775722e636f6d2f7734516944496a2e706e67" target="_blank"><img src="https://camo.githubusercontent.com/72dc78177cd84dd0c667a2922a9fd984fb548b5ec94b11f9a547211a4adba3b1/68747470733a2f2f692e696d6775722e636f6d2f7734516944496a2e706e67" alt="extension process" title="extension process" style="border: 0px;"></a></p><p>Address of the bookmark: <a href="https://github.com/dengzac/contig-extender" rel="nofollow">https://github.com/dengzac/contig-extender</a></p>]]></description>
	<dc:creator>LEGE</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/bookmarks/view/35041/seal-sequence-alignment-evaluation-suite</guid>
	<pubDate>Wed, 03 Jan 2018 05:05:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35041/seal-sequence-alignment-evaluation-suite</link>
	<title><![CDATA[Seal: SEquence ALignment evaluation suite]]></title>
	<description><![CDATA[<p><span>Seal</span>&nbsp;is a comprehensive sequencing simulation and alignment tool evaluation suite. This software (implemented in Java) provides several utilities that can be used to evaluate alignment algorithms, including:</p>
<ul>
<li>Reading a pre-existing reference genome from one or more FASTA files.</li>
<li>Alternatively, generating an artificial reference genome based on input parameters (length, repeat count, repeat length, repeat variability rate).</li>
<li>Simulating reads from random locations in the genome based on input parameters of read length, coverage, sequencing error rate, and indel rate.</li>
<li>Applying alignment tools to the genome and the reads through a standardized interface.</li>
<li>Parsing the output of the alignment tool and calculating the number of reads that were correctly or incorrectly mapped.</li>
<li>Computing run times and measures of accuracy.</li>
</ul>
<p><span>Seal</span>&nbsp;has interfaces to evaluate the following software packages:</p>
<ul>
<li>Bowtie</li>
<li>BWA</li>
<li>MAQ</li>
<li>mrFAST</li>
<li>mrsFAST</li>
<li>Novoalign</li>
<li>SHRiMP</li>
<li>SOAPv2</li>
</ul><p>Address of the bookmark: <a href="http://compbio.case.edu/seal/" rel="nofollow">http://compbio.case.edu/seal/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</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/bookmarks/view/34579/moss-a-system-for-detecting-software-similarity</guid>
	<pubDate>Sat, 09 Dec 2017 08:59:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34579/moss-a-system-for-detecting-software-similarity</link>
	<title><![CDATA[MOSS: A System for Detecting Software Similarity]]></title>
	<description><![CDATA[<p><span>Moss (for a Measure Of Software Similarity) is an automatic system for determining the similarity of programs. To date, the main application of Moss has been in detecting plagiarism in programming classes. Since its development in 1994, Moss has been very effective in this role. The algorithm behind moss is a significant improvement over other cheating detection algorithms (at least, over those known to us).</span></p>
<p><span><span>Moss can currently analyze code written in the following languages:</span></span></p>
<p>C, C++, Java, C#, Python, Visual Basic, Javascript, FORTRAN, ML, Haskell, Lisp, Scheme, Pascal, Modula2, Ada, Perl, TCL, Matlab, VHDL, Verilog, Spice, MIPS assembly, a8086 assembly, a8086 assembly, MIPS assembly, HCL2.</p><p>Address of the bookmark: <a href="https://theory.stanford.edu/~aiken/moss/" rel="nofollow">https://theory.stanford.edu/~aiken/moss/</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/bookmarks/view/37813/evidentialgene-tr2aacds-mrna-transcript-assembly-software</guid>
	<pubDate>Mon, 01 Oct 2018 13:13:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37813/evidentialgene-tr2aacds-mrna-transcript-assembly-software</link>
	<title><![CDATA[EvidentialGene: tr2aacds, mRNA Transcript Assembly Software]]></title>
	<description><![CDATA[<p><span>Quality assessment of this mRNA Transcript Assembly Software is described in&nbsp;</span><a href="http://arthropods.eugenes.org/EvidentialGene/about/EvidentialGene_quality.html">EvidentialGene_quality</a><span>.</span></p>
<p>Too many transcript assemblies is much better than too few. It allows one then to apply biological criteria to pick out the best ones. Don't be misled by the "right number" of transcripts that one or other transcript assembler may produce. It is the "right sequence" you want, and now the only way to get it is to produce way too many assemblies on a good RNA data set, with several methods and several parameter settings.</p><p>Address of the bookmark: <a href="https://sourceforge.net/p/evidentialgene/blog/" rel="nofollow">https://sourceforge.net/p/evidentialgene/blog/</a></p>]]></description>
	<dc:creator>Rahul Nayak</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>

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