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AbstractWe present Butler, a computational tool that facilitates large-scale genomic analyses on public and academic clouds. Butler includes innovative anomaly detection and self-healing functions that improve the efficiency of data processing and analysis by 43% compared with current approaches. Butler enabled processing of a 725-terabyte cancer genome dataset from the Pan-Cancer Analysis of Whole Genomes (PCAWG) project in a time-efficient and uniform manner.

Original publication

DOI

10.1038/s41587-019-0360-3

Type

Journal article

Journal

Nature Biotechnology

Publisher

Springer Science and Business Media LLC

Publication Date

01/03/2020

Volume

38

Pages

288 - 292