In:
Nature Biotechnology, Springer Science and Business Media LLC, Vol. 38, No. 3 ( 2020-03-01), p. 288-292
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.
Type of Medium:
Online Resource
ISSN:
1087-0156
,
1546-1696
DOI:
10.1038/s41587-019-0360-3
Language:
English
Publisher:
Springer Science and Business Media LLC
Publication Date:
2020
detail.hit.zdb_id:
1494943-X
detail.hit.zdb_id:
1311932-1
SSG:
12
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