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	<title><![CDATA[BOL: maftools : Summarize, Analyze and Visualize MAF Files]]></title>
	<link>https://bioinformaticsonline.com/bookmarks/view/42472/maftools-summarize-analyze-and-visualize-maf-files?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42472/maftools-summarize-analyze-and-visualize-maf-files</guid>
	<pubDate>Wed, 23 Dec 2020 05:29:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42472/maftools-summarize-analyze-and-visualize-maf-files</link>
	<title><![CDATA[maftools : Summarize, Analyze and Visualize MAF Files]]></title>
	<description><![CDATA[<p><span>With advances in Cancer Genomics,&nbsp;</span><a href="https://docs.gdc.cancer.gov/Data/File_Formats/MAF_Format/">Mutation Annotation Format</a><span>&nbsp;(MAF) is being widely accepted and used to store somatic variants detected.&nbsp;</span><a href="http://cancergenome.nih.gov/">The Cancer Genome Atlas</a><span>&nbsp;Project has sequenced over 30 different cancers with sample size of each cancer type being over 200.&nbsp;</span><a href="https://wiki.nci.nih.gov/display/TCGA/TCGA+MAF+Files">Resulting data</a><span>&nbsp;consisting of somatic variants are stored in the form of&nbsp;</span><a href="https://docs.gdc.cancer.gov/Data/File_Formats/MAF_Format/">Mutation Annotation Format</a><span>. This package attempts to summarize, analyze, annotate and visualize MAF files in an efficient manner from either TCGA sources or any in-house studies as long as the data is in MAF format.</span></p><p>Address of the bookmark: <a href="https://www.bioconductor.org/packages/release/bioc/vignettes/maftools/inst/doc/maftools.html" rel="nofollow">https://www.bioconductor.org/packages/release/bioc/vignettes/maftools/inst/doc/maftools.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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