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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32948?offset=540</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/23167/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</guid>
	<pubDate>Mon, 06 Jul 2015 08:46:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/23167/graphmap-a-highly-sensitive-and-accurate-mapper-for-long-error-prone-reads</link>
	<title><![CDATA[GraphMap - A highly sensitive and accurate mapper for long, error-prone reads]]></title>
	<description><![CDATA[<p>GraphMap is a novel mapper targeted at aligning long, error-prone third-generation sequencing data.<br>It is&nbsp;<strong>designed to handle Oxford Nanopore MinION 1d and 2d reads</strong>&nbsp;with very high sensitivity and accuracy, and also presents a significant improvement over the state-of-the-art for PacBio read mappers.</p>
<p>GraphMap was also designed for ease-of-use: the&nbsp;<strong>default parameters</strong>&nbsp;can handle a wide range of read lengths and error profiles, including:&nbsp;<em>Illumina</em>,&nbsp;<em>PacBio</em>&nbsp;and&nbsp;<em>Oxford Nanopore</em>.<br>This is an especially important feature for technologies where the error rates and error profiles can vary widely across, or even within, sequencing runs.</p>
<p><a href="http://biorxiv.org/content/early/2015/06/10/020719">http://biorxiv.org/content/early/2015/06/10/020719</a></p><p>Address of the bookmark: <a href="https://github.com/isovic/graphmap" rel="nofollow">https://github.com/isovic/graphmap</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33011/grinder-biogrinder-a-versatile-omics-shotgun-and-amplicon-sequencing-read-simulator</guid>
	<pubDate>Wed, 24 May 2017 08:41:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33011/grinder-biogrinder-a-versatile-omics-shotgun-and-amplicon-sequencing-read-simulator</link>
	<title><![CDATA[Grinder / Biogrinder - A versatile omics shotgun and amplicon sequencing read simulator]]></title>
	<description><![CDATA[<p><span>Grinder is a versatile program to create random shotgun and amplicon sequence libraries based on DNA, RNA or proteic reference sequences provided in a FASTA file. </span></p>
<p><span>Grinder can produce genomic, metagenomic, transcriptomic, metatranscriptomic, proteomic, metaproteomic shotgun and amplicon datasets from current sequencing technologies such as Sanger, 454, Illumina. These simulated datasets can be used to test the accuracy of bioinformatic tools under specific hypothesis, e.g. with or without sequencing errors, or with low or high community diversity. Grinder may also be used to help decide between alternative sequencing methods for a sequence-based project, e.g. should the library be paired-end or not, how many reads should be sequenced.</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/biogrinder/files/biogrinder/" rel="nofollow">https://sourceforge.net/projects/biogrinder/files/biogrinder/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts</guid>
	<pubDate>Mon, 26 Aug 2019 18:07:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39875/lrsday-long-read-sequencing-data-analysis-for-yeasts</link>
	<title><![CDATA[LRSDAY: Long-read Sequencing Data Analysis for Yeasts]]></title>
	<description><![CDATA[<p><span>Long-read sequencing technologies have become increasingly popular in genome projects due to their strengths in resolving complex genomic regions. As a leading model organism with small genome size and great biotechnological importance, the budding yeast,&nbsp;</span><em>Saccharomyces cerevisiae</em><span>, has many isolates currently being sequenced with long reads.&nbsp;</span></p><p>Address of the bookmark: <a href="https://github.com/yjx1217/LRSDAY" rel="nofollow">https://github.com/yjx1217/LRSDAY</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42917/fings-filters-for-next-generation-sequencing</guid>
	<pubDate>Sat, 27 Feb 2021 01:18:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42917/fings-filters-for-next-generation-sequencing</link>
	<title><![CDATA[FiNGS: Filters for Next Generation Sequencing]]></title>
	<description><![CDATA[<h2>Key features</h2>
<ul>
<li><strong>Filters SNVs from any variant caller to remove false positives</strong></li>
<li><strong>Calculates metrics based on BAM files and provides filtering not possible with other tools</strong></li>
<li><strong>Fully user-configurable filtering (including which filters to use and their thresholds)</strong></li>
<li><strong>Option to use filters identical to ICGC recommendations</strong></li>
</ul>
<p>FiNGS provides researchers with a tool to reproducibly filter somatic variants that is simple to both deploy and use, with filters and thresholds that are fully configurable by the user. It ingests and emits standard variant call format (VCF) files and will slot into existing sequencing pipelines. It allows users to develop and implement their own filtering strategies and simple sharing of these with others.</p>
<p>FiNGS reliably improves upon the precision of default variant caller outputs and performs better than other tools designed for the same task.</p><p>Address of the bookmark: <a href="https://github.com/cpwardell/FiNGS" rel="nofollow">https://github.com/cpwardell/FiNGS</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/1956/structure-of-binary-files-used-for-storing-sequencing-data-bam-and-sff</guid>
	<pubDate>Sun, 11 Aug 2013 14:29:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/1956/structure-of-binary-files-used-for-storing-sequencing-data-bam-and-sff</link>
	<title><![CDATA[Structure of Binary files used for storing sequencing data-bam and sff]]></title>
	<description><![CDATA[<p>Many times bioinformatician needs to parse binary files like bam and sff. Advantage of binary files is that they occupy less space in memory with maximum information content.</p><p>Link for those who looking for structure of Bam and sff file:</p><p>Bam:</p><p><a href="http://samtools.sourceforge.net/SAMv1.pdf">http://samtools.sourceforge.net/SAMv1.pdf</a>&nbsp;(from page 12)</p><p>sff file (for Ion torrent and 454 files):</p><p><a href="http://www.ncbi.nlm.nih.gov/Traces/trace.cgi?cmd=show&amp;f=formats&amp;m=doc&amp;s=format#sff">http://www.ncbi.nlm.nih.gov/Traces/trace.cgi?cmd=show&amp;f=formats&amp;m=doc&amp;s=format#sff</a></p><p>Binary file Editor and Viewer:</p><p><a href="http://mh-nexus.de/en/hxd/">http://mh-nexus.de/en/hxd/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/3889/bioinformatics-and-sequencing-courses-and-workshops</guid>
	<pubDate>Sat, 24 Aug 2013 16:41:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/3889/bioinformatics-and-sequencing-courses-and-workshops</link>
	<title><![CDATA[Bioinformatics and Sequencing Courses and Workshops]]></title>
	<description><![CDATA[<p>Swiss Institute of Bioinformatics (SIB) organises lots of bioinformatics courses covering wide range of topics:</p><p><a href="http://www.isb-sib.ch/education/training-courses.html">http://www.isb-sib.ch/education/training-courses.html</a></p><p>Canadian bioinformatics also organises various bioinformatics and sequencing courses:</p><p><a href="http://bioinformatics.ca/workshops">http://bioinformatics.ca/workshops</a></p><p>In addition to above two, EMBI&nbsp;Europe, EMBO Europe, Cold Spring Harbour USA, Wellcome Trust UK and NOVA&nbsp;Europe&nbsp;also organise bioinformatics and sequencing courses annually:</p><p><a href="http://www.embl.de/training/events/index.php?p_outstation=ALL">http://www.embl.de/training/events/index.php?p_outstation=ALL</a></p><p><a href="http://www.embo.org/funding-awards/courses-workshops">http://www.embo.org/funding-awards/courses-workshops</a></p><p><a href="http://meetings.cshl.edu/courses.html">http://meetings.cshl.edu/courses.html</a></p><p><a href="http://www.wellcome.ac.uk/Education-resources/Courses-and-conferences/Advanced-Courses-and-Scientific-Conferences/Advanced-Courses/index.htm">http://www.wellcome.ac.uk/Education-resources/Courses-and-conferences/Advanced-Courses-and-Scientific-Conferences/Advanced-Courses/index.htm</a></p><p><a href="http://www.nova-university.org/pagetop.cfm?MenySidorTop_id=2&amp;open=7">http://www.nova-university.org/pagetop.cfm?MenySidorTop_id=2&amp;open=7</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3030/illuminating-next-generation-sequencing-data-with-go</guid>
	<pubDate>Fri, 23 Aug 2013 07:13:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3030/illuminating-next-generation-sequencing-data-with-go</link>
	<title><![CDATA[Illuminating next generation sequencing data with Go]]></title>
	<description><![CDATA[<p>Another good lecture for Illumina sequencing data analysis from&nbsp;</p>
<p>Dan Kortschak,&nbsp;Bioinformatics Group,&nbsp;School of Molecular and Biomedical Science ,The University of Adelaide</p><p>Address of the bookmark: <a href="http://talks.biogo.googlecode.com/git/illumination/illumination.pdf" rel="nofollow">http://talks.biogo.googlecode.com/git/illumination/illumination.pdf</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5166/role-of-microbes-in-forensic-science</guid>
	<pubDate>Sun, 29 Sep 2013 10:07:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5166/role-of-microbes-in-forensic-science</link>
	<title><![CDATA[Role of microbes in forensic science]]></title>
	<description><![CDATA[<p>"<span>Studies on decomposing mice suggest that the microbial content of a corpse can offer clues as to how old a body is and the approximate time that death occurred."</span><span><br /><br />Read more:&nbsp;<a href="http://www.digitaljournal.com/article/359185#ixzz2gIJFVHRo">http://www.digitaljournal.com/article/359185#ixzz2gIJFVHRo</a></span></p><p><span><a href="http://www.colorado.edu/news/releases/2013/09/24/new-cu-boulder-led-study-finds-%E2%80%98microbial-clock%E2%80%99-may-help-determine-time">http://www.colorado.edu/news/releases/2013/09/24/new-cu-boulder-led-study-finds-%E2%80%98microbial-clock%E2%80%99-may-help-determine-time</a></span></p><p><span>Paper:</span></p><p><span><a href="http://www.elifesciences.org/wp-content/uploads/2013/09/eLife.01104_INPRESS.pdf">http://www.elifesciences.org/wp-content/uploads/2013/09/eLife.01104_INPRESS.pdf</a></span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/5817/the-first-50-plant-genomes</guid>
	<pubDate>Mon, 21 Oct 2013 11:19:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/5817/the-first-50-plant-genomes</link>
	<title><![CDATA[The First 50 Plant Genomes]]></title>
	<description><![CDATA[<p>Plant scientists can exploit available 50 plant complete genomic data for their resequencing or other related projects for understanding the genetic mechanism behind their different traits and molecular evolution. Complete information about these plant genomes given in paper link.</p>
<p><a href="https://www.crops.org/publications/tpg/articles/6/2/plantgenome2013.03.0001in">https://www.crops.org/publications/tpg/articles/6/2/plantgenome2013.03.0001in</a></p><p>Address of the bookmark: <a href="https://www.crops.org/publications/tpg/pdfs/6/2/plantgenome2013.03.0001in" rel="nofollow">https://www.crops.org/publications/tpg/pdfs/6/2/plantgenome2013.03.0001in</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9676/bioinformatics-job-in-genotypic-tech-india</guid>
  <pubDate>Mon, 07 Apr 2014 08:20:54 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics job in Genotypic Tech, India]]></title>
  <description><![CDATA[
<p>Genotypic Technology, the first Genomics Company of India is poised to become the next generation life sciences company. We are hiring professionals for our high end Genomics Labs (Molecular Biology/ Microarray/NGS) and Bioinformatics groups.</p>

<p>Apply to Genotypic Technology if you are a PhD in Life Sciences/ Molecular Biology/ Biotechnology/ Human Genetics/ Bioinformatics with minimum 4-5 years post doctoral experience as well as publications in peer reviewed journals.</p>

<p>Source: http://www.genotypic.co.in/Careers/2/Current-Openings.aspx</p>
]]></description>
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