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	<title><![CDATA[BOL: Genome in a Bottle (GIAB) Consortium]]></title>
	<link>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium</guid>
	<pubDate>Sat, 25 Jan 2020 13:50:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium</link>
	<title><![CDATA[Genome in a Bottle (GIAB) Consortium]]></title>
	<description><![CDATA[<p><span>The</span><a href="http://www.genomeinabottle.org/"> Genome in a Bottle (GIAB) Consortium</a><span> is a public-private-academic consortium hosted by </span><a href="http://www.nist.gov/" target="_blank">NIST</a><span> to develop the technical infrastructure (reference standards, reference methods, and reference data) to enable translation of whole human genome sequencing to clinical practice. </span></p>
<p><span><a href="https://www.nist.gov/news-events/news/2016/09/nist-releases-new-family-standardized-genomes">https://www.nist.gov/news-events/news/2016/09/nist-releases-new-family-standardized-genomes</a></span></p><p>Address of the bookmark: <a href="https://jimb.stanford.edu/giab/" rel="nofollow">https://jimb.stanford.edu/giab/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink='true'>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium#item-annotation-3720</guid>
	<pubDate>Mon, 27 Jan 2020 12:09:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium#item-annotation-3720</link>
	<title><![CDATA[Comment by Rahul Nayak]]></title>
	<description><![CDATA[<p><span>Benchmark (or "High-confidence") variant calls and regions:</span><br><span><span>We developed an integration pipeline to utilize sequencing data generated by multiple technologies to generate variant calls and regions for use in benchmarking and validating variant calling pipelines. Currently, benchmark VCF and BED files for small variants are available for GRCh37 and GRCh38 under each genome at&nbsp;<a href="ftp://ftp-trace.ncbi.nlm.nih.gov/giab/ftp/release/">ftp://ftp-trace.ncbi.nlm.nih.gov/ReferenceSamples/giab/release/</a></span></span></p>
<p><span>Draft benchmarks for difficult variants and regions:</span><br><span><span>Structural variants:&nbsp;<a href="https://doi.org/10.1101/664623">Currently available for HG002 on GRCh37</a></span></span><br>Small variants in more difficult regions:&nbsp;<span><a href="https://groups.google.com/d/msg/giab-analysis-team/xrgQuDgSGGM/U75kv4mlAgAJ">Currently available for HG002 on GRCh37 and GRCh38<span></span></a>&nbsp;<br>MHC:&nbsp;<a href="https://doi.org/10.1101/831792">Currently available for HG002 on GRCh37 and GRCh38</a>&nbsp;</span></p>
<p><span>Benchmarking best practices:</span><br><span>To establish best practices for using GIAB genomes for benchmarking, we have worked with the Global Alliance for Genomics and Health Benchmarking Team:</span><br><span><span><span><span><a href="https://github.com/ga4gh/benchmarking-tools/">Benchmarking tools<span></span></a>,</span></span><span><span>&nbsp;</span></span><span><span><a href="https://doi.org/10.1038/s41587-019-0054-x">Manuscript</a>,&nbsp;<a href="https://github.com/ga4gh/benchmarking-tools/">GitHub<span></span></a></span></span></span></span></p>
<p><span>Sequencing Data:</span><br><span><span>Data and analyses from most short, linked, and long read sequencing methods are publicly available without publication embargo (data indexed in&nbsp;</span><a href="https://github.com/genome-in-a-bottle"><span><span><span>GIAB GitHub</span></span></span><span></span></a><span>&nbsp;and&nbsp;<span><a href="ftp://ftp-trace.ncbi.nlm.nih.gov/ReferenceSamples/giab/data/">FTP</a></span></span><span>).</span></span><br><span><span><a href="http://www.nature.com/articles/sdata201625">GIAB 2016 Scientific Data publication<span></span></a></span></span><br><span><span><a href="http://www.ncbi.nlm.nih.gov/bioproject/PRJNA200694">NCBI GIAB Bioproject</a></span></span><br><span><span><a href="http://www.ncbi.nlm.nih.gov/Traces/study/?acc=PRJNA200694">NCBI SRA Run Selector</a></span></span><br><span>Amazon AWS S3 bucket: s3://giab&nbsp;</span></p>
<p><span>Ongoing and Future work:</span><br><span>Current work in the&nbsp;<a href="https://groups.google.com/forum/#!forum/giab-analysis-team"><span><span>GIAB Analysis Team</span></span><span></span></a>&nbsp;is focused on establishing benchmark large indel and structural variant calls, as well as calls in difficult genomic contexts (e.g., homopolymers/tandem repeats and difficult-to-map regions like pseudogenes and segmental duplications).&nbsp; GIAB is also exploring expanding to additional samples consented for release of WGS and redistribution of commercial products: increasing the diversity of germline reference samples and developing paired tumor-normal cell lines.</span></p>
<p><span>Workshops:</span><br><span><span>The consortium was initiated in a set of meetings in 2011 and 2012, and the consortium &nbsp;holds open, public workshops typically annually at Stanford University in Palo Alto, CA or at NIST in Gaithersburg, MD. Slides from workshops and conferences are&nbsp;</span><a href="http://www.slideshare.net/GenomeInABottle/presentations"><span><span><span>available here</span></span></span><span></span></a><span>. The next workshop is planned for April 1-2, 2020 at Stanford University. The consortium and workshops are open and new participants are welcome.</span></span></p>
<p><span>Publications by GIAB:</span><br><span><span><a href="https://rdcu.be/bue67">Benchmark small variants for 7 GIAB genomes<span></span></a></span></span><br><a href="http://www.nature.com/nbt/journal/v32/n3/full/nbt.2835.html"><span><span>Older benchmark small variants for pilot genome</span></span><span></span></a><br><span><span><a href="http://www.nature.com/articles/sdata201625">GIAB data collected through 2016<span></span></a></span></span><br><span><a href="https://rdcu.be/bqpDT">GA4GH Best practices for benchmarking germline small variants<span></span></a><br><a href="https://www.slideshare.net/GenomeInABottle/presentations">Posters and Presentations by GIAB<span></span></a></span></p>
<p><span>Publications using GIAB:</span><br><a href="https://scholar.google.com.tr/scholar?q=%22genome+in+a+bottle%22+NIST&amp;btnG=&amp;hl=en&amp;as_sdt=0%2C5"><span><span>All google scholar publications mentioning GIAB and NIST</span></span><span></span></a></p>
<p><span>GIAB Email Lists:</span><br><a href="https://groups.google.com/forum/#!forum/genome-in-a-bottle"><span><span>General announcements</span></span><span></span></a><br><a href="https://groups.google.com/forum/#!forum/giab-analysis-team"><span><span>Analysis Team</span></span><span></span></a></p>
<p><a href="https://www.nist.gov/blogs/taking-measure/genome-bottle-spelling-out-dnas-dark-sequences"><span><span><span>Blog about GIAB Work</span></span></span></a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink='true'>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium#item-annotation-3719</guid>
	<pubDate>Mon, 27 Jan 2020 12:05:41 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium#item-annotation-3719</link>
	<title><![CDATA[Comment by Rahul Nayak]]></title>
	<description><![CDATA[<p>GitHub&nbsp;<a href="https://github.com/genome-in-a-bottle">https://github.com/genome-in-a-bottle</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink='true'>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium#item-annotation-3718</guid>
	<pubDate>Mon, 27 Jan 2020 00:05:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40613/genome-in-a-bottle-giab-consortium#item-annotation-3718</link>
	<title><![CDATA[Comment by Jit]]></title>
	<description><![CDATA[<p>Some useful links for&nbsp;GIAB</p>
<p><a href="ftp://ftp-trace.ncbi.nlm.nih.gov/ReferenceSamples/giab/">ftp://ftp-trace.ncbi.nlm.nih.gov/ReferenceSamples/giab/</a></p>
<p><a href="https://www.ncbi.nlm.nih.gov/Traces/study/?acc=PRJNA200694&amp;o=acc_s%3Aa">https://www.ncbi.nlm.nih.gov/Traces/study/?acc=PRJNA200694&amp;o=acc_s%3Aa</a></p>
<p><a href="https://jimb.stanford.edu/giab-resources">https://jimb.stanford.edu/giab-resources</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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