title: Fastbreak: a tool for analysis and visualization of structural variations in genomic data.
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.affiliation: Institute for System Biology, 401 Terry Avenue North, Seattle, WA, 98109-5234, USA. ilya.shmulevich@systemsbiology.org.
authors.forename: Ryan
authors.initials: R
authors.lastname: Bressler
authors.forename: Jake
authors.initials: J
authors.lastname: Lin
authors.forename: Andrea
authors.initials: A
authors.lastname: Eakin
authors.forename: Thomas
authors.initials: T
authors.lastname: Robinson
authors.forename: Richard
authors.initials: R
authors.lastname: Kreisberg
authors.forename: Hector
authors.initials: H
authors.lastname: Rovira
authors.forename: Theo
authors.initials: T
authors.lastname: Knijnenburg
authors.forename: John
authors.initials: J
authors.lastname: Boyle
authors.forename: Ilya
authors.initials: I
authors.lastname: Shmulevich