Year: 2012
Type: article
Abstract: Genomic 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.
Authors: Ryan Bressler, Jake Lin, Andrea Eakin, Thomas Robinson, Richard Kreisberg, Hector Rovira, Theo Knijnenburg, John Boyle, Ilya Shmulevich
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
Funder: National Cancer Institute
Award: G2851467072
OpenAlex ID: W2118337937