Fastbreak: a tool for analysis and visualization of structural variations in genomic data

Ryan Bressler(Institute for Systems Biology), Jake Lin(Institute for Systems Biology), Andrea Eakin(Institute for Systems Biology), Thomas Robinson(Institute for Systems Biology), Richard Kreisberg(Institute for Systems Biology), Hector Rovira(Institute for Systems Biology), Theo Knijnenburg(The Netherlands Cancer Institute), John Boyle(Institute for Systems Biology), Ilya Shmulevich(Institute for Systems Biology)
EURASIP Journal on Bioinformatics and Systems Biology
October 9, 2012
10.1186/1687-4153-2012-15
Cited by 6Open Access
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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.

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