Ontology type: schema:ScholarlyArticle Open Access: True
2012-10-09
AUTHORSRyan Bressler, Jake Lin, Andrea Eakin, Thomas Robinson, Richard Kreisberg, Hector Rovira, Theo Knijnenburg, John Boyle, Ilya Shmulevich
ABSTRACTGenomic studies are now being undertaken on thousands of samples requiring new computational tools that can rapidly analyze data to identify clinically important features. Inferring structural variations in cancer genomes from mate-paired reads is a combinatorially difficult problem. We introduce Fastbreak, a fast and scalable toolkit that enables the analysis and visualization of large amounts of data from projects such as The Cancer Genome Atlas. More... »
PAGES15
http://scigraph.springernature.com/pub.10.1186/1687-4153-2012-15
DOIhttp://dx.doi.org/10.1186/1687-4153-2012-15
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/23046488
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