Enhancing knowledge discovery from cancer genomics data with Galaxy.

ABSTRACT: The field of cancer genomics has demonstrated the power of massively parallel sequencing techniques to inform on the genes and specific alterations that drive tumor onset and progression. Although large comprehensive sequence data sets continue to be made increasingly available, data analysis remains an ongoing challenge, particularly for laboratories lacking dedicated resources and bioinformatics expertise. To address this, we have produced a collection of Galaxy tools that represent many popular algorithms for detecting somatic genetic alterations from cancer genome and exome data. We developed new methods for parallelization of these tools within Galaxy to accelerate runtime and have demonstrated their usability and summarized their runtimes on multiple cloud service providers. Some too

SUBMITTER: Albuquerque MA 

PROVIDER: S-EPMC5437943 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature