Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/172342
Title: | Butler enables rapid cloud-based analysis of thousands of human genomes |
Author: | PCAWG Technical Working Group PCAWG Consortium Gelpí Buchaca, Josep Lluís |
Keywords: | Genoma humà Biologia computacional Human genome Computational biology |
Issue Date: | 5-Feb-2020 |
Publisher: | Nature Publishing Group |
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. |
Note: | Reproducció del document publicat a: https://doi.org/10.1038/s41587-019-0360-3 |
It is part of: | Nature Biotechnology, 2020, vol. 38, p. 288-292 |
URI: | http://hdl.handle.net/2445/172342 |
Related resource: | https://doi.org/10.1038/s41587-019-0360-3 |
ISSN: | 1087-0156 |
Appears in Collections: | Articles publicats en revistes (Bioquímica i Biomedicina Molecular) |
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