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

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 Fa...

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Detalles Bibliográficos
Autores principales: Bressler, Ryan, Lin, Jake, Eakin, Andrea, Robinson, Thomas, Kreisberg, Richard, Rovira, Hector, Knijnenburg, Theo, Boyle, John, Shmulevich, Ilya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605143/
https://www.ncbi.nlm.nih.gov/pubmed/23046488
http://dx.doi.org/10.1186/1687-4153-2012-15
Descripción
Sumario: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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