Butler enables rapid cloud-based analysis of thousands of human genomes

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Abstract

We 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.

Journal details

Volume 38
Issue number 3
Pages 288-292
Available online
Publication date

Crick labs/facilities