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

PCAWG Technical Working Group; Joachim Weischenfeldt

doi:10.1038/s41587-019-0360-3

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

PCAWG Technical Working Group, Joachim Weischenfeldt (Medlem af forfattergruppering)

Finsenlaboratoriet

10 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	Nature Biotechnology
Vol/bind	38
Udgave nummer	3
Sider (fra-til)	288-292
ISSN	1087-0156
DOI	https://doi.org/10.1038/s41587-019-0360-3
Status	Udgivet - mar. 2020

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10.1038/s41587-019-0360-3

Citationsformater

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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.",

keywords = "Cloud Computing, Computational Biology/methods, Genome, Human, Humans, Neoplasms/genetics, Software",

author = "Sergei Yakneen and Waszak, {Sebastian M} and Michael Gertz and Korbel, {Jan O} and {PCAWG Technical Working Group} and Joachim Weischenfeldt",

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AU - Yakneen, Sergei

AU - Waszak, Sebastian M

AU - Gertz, Michael

AU - Korbel, Jan O

AU - PCAWG Technical Working Group

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PY - 2020/3

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AB - 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.

KW - Cloud Computing

KW - Computational Biology/methods

KW - Genome, Human

KW - Humans

KW - Neoplasms/genetics

KW - Software

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DO - 10.1038/s41587-019-0360-3

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JF - Nature Biotechnology

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ER -

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

Abstract

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