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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/8504?offset=440</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31345/prokka-tool-for-the-rapid-annotation-of-prokaryotic-genomes</guid>
	<pubDate>Mon, 06 Mar 2017 03:49:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31345/prokka-tool-for-the-rapid-annotation-of-prokaryotic-genomes</link>
	<title><![CDATA[Prokka: tool for the rapid annotation of prokaryotic genomes]]></title>
	<description><![CDATA[<p>Prokka is a software tool for the rapid annotation of prokaryotic genomes. A typical 4 Mbp genome can be fully annotated in less than 10 minutes on a quad-core computer, and scales well to 32 core SMP systems. It produces GFF3, GBK and SQN files that are ready for editing in Sequin and ultimately submitted to Genbank/DDJB/ENA.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://www.vicbioinformatics.com/software.prokka.shtml" rel="nofollow">http://www.vicbioinformatics.com/software.prokka.shtml</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31375/cocacola-binning-metagenomic-contigs-using-sequence-composition-read-coverage-co-alignment-and-paired-end-read-linkage</guid>
	<pubDate>Tue, 07 Mar 2017 08:50:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31375/cocacola-binning-metagenomic-contigs-using-sequence-composition-read-coverage-co-alignment-and-paired-end-read-linkage</link>
	<title><![CDATA[COCACOLA (binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment, and paired-end read LinkAge)]]></title>
	<description><![CDATA[<p>COCACOLA is a general framework that combines different types of information: sequence COmposition, CoverAge across multiple samples, CO-alignment to reference genomes and paired-end reads LinkAge to automatically bin contigs into OTUs. Furthermore, COCACOLA seamlessly embraces customized prior knowledge to facilitate binning accuracy.</p>
<p>News: Python version of COCACOLA is available now!</p><p>Address of the bookmark: <a href="https://github.com/younglululu/COCACOLA" rel="nofollow">https://github.com/younglululu/COCACOLA</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/31566/software-and-tools-to-detect-structure-variation-with-long-reads</guid>
	<pubDate>Wed, 15 Mar 2017 14:31:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/31566/software-and-tools-to-detect-structure-variation-with-long-reads</link>
	<title><![CDATA[Software and Tools to detect structure variation with long reads !!]]></title>
	<description><![CDATA[<p>Uncovering the connection between genetics and heritable diseases requires an approach that looks at all the variant bases and types in a genome. While a PacBio&nbsp;<em>de novo</em>&nbsp;assembly resolves the most novel SV variants. 8-10X PacBio coverage of single genomes or trios reveals triple the SVs detectable by short-read data.</p><p>With&nbsp;<span style="text-decoration: underline;"><a href="http://www.pacb.com/smrt-science/">Single Molecule, Real-Time (SMRT) Sequencing</a></span>, you can access structural variations having a broad range of sizes, types, and GC content with the ability to:</p><ul>
<li>Uncover missing heritability linked to structural variation</li>
<li>Unambiguously identify genomic context and variant breakpoints at the sequence level to unravel the genetic etiology of disease</li>
<li>Resolve structural variation across the complete size spectrum with basepair resolution</li>
</ul><p>Following are the SV tools, which can assist you to achieve your goal.</p><p><strong>Sniffles:</strong>&nbsp;Structural variation caller using third generation sequencing</p><p>Sniffles is a structural variation caller using third generation sequencing (PacBio or Oxford Nanopore). It detects all types of SVs using evidence from split-read alignments, high-mismatch regions, and coverage analysis. Please note the current version of Sniffles requires sorted output from BWA-MEM (use -M and -x parameter) or NGM-LR with the optional SAM attributes enabled!&nbsp;</p><p>More at&nbsp;https://github.com/fritzsedlazeck/Sniffles</p><p><strong style="font-size: 12.8px;"><br />MultiBreak-SV:</strong> It identifies structural variants from next-generation paired end data, third-generation long read data, or data from a combination of sequencing platforms.</p><p>There are two pieces of software in this release: (1) a pre-processor that takes machineformat (.m5) BLASR files, and (2) MultiBreak-SV. For installation and usage instructions, see doc/MultiBreakSV-Manual.txt.</p><p>More at&nbsp;https://github.com/raphael-group/multibreak-sv</p><p><strong style="font-size: 12.8px;"><br />Parliament:</strong>&nbsp;A Structural Variation Tool. Why ask a single sv-detection approach to find every variant when you can have a parliament of tools deciding?</p><p>Publication about the algorithm and &ldquo;&hellip;the first long-read characterization of structural variation in a diploid human personal genome&hellip;&rdquo; (HS1011) -&nbsp;<a href="http://www.biomedcentral.com/1471-2164/16/286">&ldquo;Assessing structural variation in a personal genome&mdash;towards a human reference diploid genome&rdquo;</a></p><p>More at&nbsp;https://sourceforge.net/projects/parliamentsv/</p><p>https://www.dnanexus.com/papers/Parliament_Info_Sheet.pdf</p><p><br /><strong>PBHoney:</strong>&nbsp;the structural variation discovery tool&nbsp;<br /><br />PBHoney is an implementation of two variant-identification approaches designed to exploit the high mappability of long reads (i.e., greater than 10,000 bp). PBHoney considers both intra-read discordance and soft-clipped tails of long reads to identify structural variants.</p><p>Read The Paper&nbsp;<a href="http://www.biomedcentral.com/1471-2105/15/180/abstract" target="_blank">http://www.biomedcentral.com/1471-2105/15/180/abstract</a></p><p>More at&nbsp;https://sourceforge.net/projects/pb-jelly/</p><p><strong><br />SMRT-SV:</strong> Structural variant and indel caller for PacBio reads</p><p>Structural variant (SV) and indel caller for PacBio reads based on methods from&nbsp;<a href="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature13907.html">Chaisson et al. 2014</a>.</p><p>SMRT-SV provides an official software package for tools described in&nbsp;<a href="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature13907.html">Chaisson et al. 2014</a>&nbsp;and adds several key features including the following.</p><ul>
<li>Unified variant calling user interface with built-in cluster compute support</li>
<li>Small indel calling (2-49 bp)</li>
<li>Improved inversion calling (<code>screenInversions</code>)</li>
<li>Quality metric for SV calls based on number of local assemblies supporting each call</li>
<li>Higher sensitivity for SV calls using tiled local assemblies across the entire genome instead of "signature" regions</li>
<li>Genotyping of SVs with Illumina paired-end reads from WGS samples</li>
</ul><p>More at&nbsp;https://github.com/EichlerLab/pacbio_variant_caller</p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/2002/ibl-laboratory</guid>
  <pubDate>Mon, 12 Aug 2013 02:02:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[IBL laboratory]]></title>
  <description><![CDATA[
<p>The IBL laboratory focuses on the multi-disciplinary analyses of the global responses of model microorganisms, cyanobacteria (mainly Synechocystis PCC6803) and yeasts (mainly Saccharomyces cerevisae) to environmental stresses triggered by oxidative agents, heavy metals, or drastic changes in nutrients availability. The genome-wide responses studied with the "omics" techniques (transcriptomics, proteomics, metabolomics and genetics) generate a wealth of experimental data, which are processed, archived, integrated and represented as working models through bioinformatics and mathematics. </p>

<p>Link : http://www-dsv.cea.fr/en/instituts/institut-de-biologie-et-de-technologies-de-saclay-ibitec-s/unites-de-recherche/service-de-biologie-integrative-et-genetique-moleculaire-sbigem/laboratoire-de-biologie-integrative-lbi/presentation__1</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32154/decostar-detection-of-co-evolution</guid>
	<pubDate>Fri, 14 Apr 2017 06:27:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32154/decostar-detection-of-co-evolution</link>
	<title><![CDATA[DeCoSTAR - Detection of Co-evolution]]></title>
	<description><![CDATA[<p><span>DeCoSTAR is a software which aims at reconstructing ancestral gene or genome organizations, in the form of sets of neighborhood relations -adjacencies- between pairs of ancestral genes or gene domains.</span><br><span>Ancestral genes or domains are deduced from reconciled gene trees in a context of birth, speciation, duplication, loss, transfer, which are either given as input or computed with the&nbsp;</span><a href="http://mbb.univ-montp2.fr/MBB/download_sources/16__TERA">ecceTERA package</a><span>, to which DeCoSTAR is integrated. DeCoSTAR constructs parsimonious scenarios of gains and breakages of adjacencies, and contains in particular all the features of previous software DeCo, DeCoLT, ArtDeCo and DeClone. It provides statistical supports on ancestral adjacencies, or the possibility to handle badly assembled genomes.&nbsp;</span><br><span>DeCoSTAR is able to reconstruct the histories of domains inside genes, including gene fusion and fission events, as well as ancestral genome structures for dozens of whole genomes from all kingdoms of life in a few minutes.</span></p><p>Address of the bookmark: <a href="http://pbil.univ-lyon1.fr/software/DeCoSTAR/" rel="nofollow">http://pbil.univ-lyon1.fr/software/DeCoSTAR/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/1212/computational-proteomics-lets-remember-the-basics</guid>
	<pubDate>Thu, 01 Aug 2013 17:24:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/1212/computational-proteomics-lets-remember-the-basics</link>
	<title><![CDATA[Computational Proteomics : Lets remember the basics]]></title>
	<description><![CDATA[<p>I spend some of my valuable time in computational drug designing sector. I remember my initial proteomics days, playing with interactive protein visualization software and dreaming big. Fortunately or unfortunately, I switched to genomics and handling the genomic floods in Petabytes which is expected to be in Brontobytes in coming years. Did I mention Brontobytes ??? Let me call to my server personnel &hellip; it gonna tsunami !!!!!</p><p>Today, refreshing my old memories I decided to blog about the basic knowledge of biochemistry and computational proteomics&nbsp;skills, but after I found several article on internet saying exactly what I had wanted to say I thought I might as well just redirect BOL's blog readers there instead:</p><p>Here is the list of website and videos links which provide a good resource for you basic chemistry need:</p><p><a href="http://tecreativ.blogspot.co.uk/2012/09/funny-shortcut-remember-periodic-table.html"></a><a href="http://tecreativ.blogspot.co.uk/2012/09/funny-shortcut-remember-periodic-table.html"></a><a href="http://tecreativ.blogspot.co.uk/2012/09/funny-shortcut-remember-periodic-table.html"></a><a href="http://tecreativ.blogspot.co.uk/2012/09/funny-shortcut-remember-periodic-table.html">http://tecreativ.blogspot.co.uk/2012/09/funny-shortcut-remember-periodic-table.html</a></p><p>This blog have some specific hindi word to remember entire periodic table. I really like</p><p>Group 14 (C Si Ge Sn Pb) -&gt; Sentence &ldquo;<strong>C</strong>hemistry&nbsp;<strong>Si</strong>r&nbsp;<strong>G</strong>iv<strong>e</strong>s&nbsp;<strong>S</strong>a<strong>n</strong>ki&nbsp;<strong>P</strong>ro<strong>b</strong>lems&rdquo;</p><p>Sanki is a hindi word which mean crazy :P</p><p>I found this link useful as well&nbsp;<a href="http://www.wikihow.com/Memorise-the-Periodic-Table"></a><a href="http://www.wikihow.com/Memorise-the-Periodic-Table"></a><a href="http://www.wikihow.com/Memorise-the-Periodic-Table"></a><a href="http://www.wikihow.com/Memorise-the-Periodic-Table">http://www.wikihow.com/Memorise-the-Periodic-Table</a></p><p>The eagle genomics group provide an element of bioinformatics in periodic tables. Yes you got it, this is not periodic table rather bioinformatics tools with periodicals</p><p><a href="http://elements.eaglegenomics.com/"></a><a href="http://elements.eaglegenomics.com/"></a><a href="http://elements.eaglegenomics.com/"></a><a href="http://elements.eaglegenomics.com/">http://elements.eaglegenomics.com/</a></p><p>You can also try this video links, which provide you an overview with tricks on periodic tables:</p><p><a href="http://www.youtube.com/watch?v=fLSfgNxoVGk"></a><a href="http://www.youtube.com/watch?v=fLSfgNxoVGk"></a><a href="http://www.youtube.com/watch?v=fLSfgNxoVGk"></a><a href="http://www.youtube.com/watch?v=fLSfgNxoVGk">http://www.youtube.com/watch?v=fLSfgNxoVGk</a></p><p><a href="http://www.youtube.com/user/periodicvideos"></a><a href="http://www.youtube.com/user/periodicvideos"></a><a href="http://www.youtube.com/user/periodicvideos"></a><a href="http://www.youtube.com/user/periodicvideos">http://www.youtube.com/user/periodicvideos</a></p><p>For drug design educational material, software, tools, databses, viewer, file format and many more stuff at one place&nbsp;<a href="http://www.allfordrugs.com/drug-design/.%C2%A0I"></a><a href="http://www.allfordrugs.com/drug-design/"></a><a href="http://www.allfordrugs.com/drug-design/"></a><a href="http://www.allfordrugs.com/drug-design/">http://www.allfordrugs.com/drug-design/</a>&nbsp;I highly recommend you all computational drug designer to bookmark this page for future studies as well.</p><p>I just remember one of my mini project in which I use my flash knowledge (flash .. oh ya flash) to explain amino acids in interactive and user friendly manner. I can&rsquo;t provide It right now, but promise you to provide a link in near future. I hope that you will enjoy my flashy creative skills :).</p><p>Moreover, I found some of very interesting tricks to remember all amino acids chemical formulae on youtube at</p><p><a href="http://www.youtube.com/watch?v=gqrWb0fmzQ&amp;list=PL6132651E70BB5575"></a><a href="http://www.youtube.com/watch?v=gqrWb0fmzQ&amp;list=PL6132651E70BB5575"></a><a href="http://www.youtube.com/watch?v=gqrWb0fmzQ&amp;list=PL6132651E70BB5575"></a><a href="http://www.youtube.com/watch?v=gqrWb0fmzQ&amp;list=PL6132651E70BB5575">http://www.youtube.com/watch?v=gqrWb0fmzQ&amp;list=PL6132651E70BB5575</a></p><p><a href="http://www.youtube.com/watch?v=C2GfoGXfySQ&amp;list=PL6132651E70BB5575"></a><a href="http://www.youtube.com/watch?v=C2GfoGXfySQ&amp;list=PL6132651E70BB5575"></a><a href="http://www.youtube.com/watch?v=C2GfoGXfySQ&amp;list=PL6132651E70BB5575"></a><a href="http://www.youtube.com/watch?v=C2GfoGXfySQ&amp;list=PL6132651E70BB5575">http://www.youtube.com/watch?v=C2GfoGXfySQ&amp;list=PL6132651E70BB5575</a></p><p><br />Key points for computer added drug designers?<br />1. A shortage of biochemistry skills means that you absolutely nowhere in understanding the key concept and do research.<br />2. Keep handy with complex mathematical formula, before merely running tools or software.<br />3. Dig it better and deeper guys .. design it.</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/32713/salzberg-lab</guid>
  <pubDate>Mon, 15 May 2017 05:14:01 -0500</pubDate>
  <link></link>
  <title><![CDATA[Salzberg lab]]></title>
  <description><![CDATA[
<p>We are a computational biology lab that develops novel methods for analysis of DNA and RNA sequences. Our research includes software for aligning and assembling RNA-seq data, whole-genome assembly, and microbiome analysis. We work closely with biomedical scientists to apply these methods to current problems arising in a broad spectrum of biological and medical research areas. We’re also part of the Center for Computational Biology, a group of 20+ faculty members and their labs at Johns Hopkins working on computational, statistical, and mathematical methods that can turn massive genomic data sets into biologically and clinically useful information.</p>

<p>https://salzberg-lab.org/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4004/33rd-annual-convention-of-indian-association-for-cancer-research-from-13th-to-15th-february-2014</guid>
  <pubDate>Tue, 27 Aug 2013 10:37:08 -0500</pubDate>
  <link></link>
  <title><![CDATA[33rd Annual Convention of Indian Association for Cancer Research from 13th to 15th February 2014]]></title>
  <description><![CDATA[
<p>RGCB is organizing the 33rd Annual Convention of Indian Association for Cancer Research from 13th to 15th February 2014 with the theme "Discovery, Innovation and Translation in Cancer Research"</p>

<p>Kindly log on to conference website http://rgcb.res.in/IACR2014 for further details and timely updates and registration. We shall truly appreciate if the same be circulated among your friends, scholars and students encouraging them to participate in the meet.</p>

<p>http://210.212.237.38/iacrconference/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4552/imtech-lab</guid>
  <pubDate>Sun, 15 Sep 2013 09:41:04 -0500</pubDate>
  <link></link>
  <title><![CDATA[IMTECH Lab]]></title>
  <description><![CDATA[
<p>Computer Aided Protein Structure Prediction; Identification of Vaccine<br />Candidates (T-Epitope prediction); Analysis of Nucleotide/Protein Sequences; Development of Web Server/</p>

<p>Software; Creation of Public Domain Resources in Biology<br />Present Status::</p>

<p>Developing prediction methods for gene, beta-turn, secondary structure and MHC-binding sites.<br />Area of Interest ::</p>

<p>Comparison of force field simulations. Analysis of DNA-protein interactions using molecular mechanics methods.Drug Target Identification using in silico biology.</p>

<p>More @ http://www.imtech.res.in/bic/index.php?option=com_content&amp;view=article&amp;id=65</p>

<p>PIs: http://www.imtech.res.in/bic/index.php?option=com_content&amp;view=article&amp;id=69</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2461/taverna-workflow-management-system</guid>
	<pubDate>Thu, 15 Aug 2013 19:34:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2461/taverna-workflow-management-system</link>
	<title><![CDATA[Taverna Workflow Management System]]></title>
	<description><![CDATA[<p>Taverna is an open source domain independent Workflow Management System &ndash; a suite of tools used to design and execute scientific workflows. Taverna has been created by the myGrid project and is funded through a range of organisations and projects.</p>
<p>The Taverna suite is written in Java and includes the Taverna Engine(used for enacting workflows) that powers both the Taverna Workbench(the desktop client application) and the Taverna Server (which allows remote execution of workflows). Taverna is also available as a Command Line Tool for a quick execution of workflows from a terminal.</p><p>Address of the bookmark: <a href="http://www.taverna.org.uk/" rel="nofollow">http://www.taverna.org.uk/</a></p>]]></description>
	<dc:creator>Madhvan Reddy</dc:creator>
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