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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-10-09

AUTHORS

Ryan Bressler, Jake Lin, Andrea Eakin, Thomas Robinson, Richard Kreisberg, Hector Rovira, Theo Knijnenburg, John Boyle, Ilya Shmulevich

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. More... »

PAGES

15

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1687-4153-2012-15

DOI

http://dx.doi.org/10.1186/1687-4153-2012-15

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047687287

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23046488


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