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

Sergei Yakneen; Sebastian M Waszak; Michael Gertz; Jan O Korbel; Åke Borg; Markus Ringnér; Johan Staaf; PCAWG Technical Working Group; PCAWG Consortium

doi:10.1038/s41587-019-0360-3

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

Sergei Yakneen, Sebastian M Waszak, Michael Gertz, Jan O Korbel, Åke Borg (Contributor), Markus Ringnér (Contributor), Johan Staaf (Contributor), PCAWG Technical Working Group, PCAWG Consortium

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	288-292
Journal	Nature Biotechnology
Volume	38
Issue number	3
DOIs	https://doi.org/10.1038/s41587-019-0360-3
Publication status	Published - 2020 Mar

Subject classification (UKÄ)

Bioinformatics (Computational Biology)

Free keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41587-019-0360-3Licence: CC BY

Cite this

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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 {\AA}ke Borg and Markus Ringn{\'e}r and Johan Staaf and {PCAWG Technical Working Group} and {PCAWG Consortium}",

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AU - Yakneen, Sergei

AU - Waszak, Sebastian M

AU - Gertz, Michael

AU - Korbel, Jan O

AU - PCAWG Technical Working Group

AU - PCAWG Consortium

A2 - Borg, Åke

A2 - Ringnér, Markus

A2 - Staaf, Johan

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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

U2 - 10.1038/s41587-019-0360-3

DO - 10.1038/s41587-019-0360-3

M3 - Article

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SP - 288

EP - 292

JO - Nature Biotechnology

JF - Nature Biotechnology

IS - 3

ER -

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

Abstract

Subject classification (UKÄ)

Free keywords

UN SDGs

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