Butler enables rapid cloud-based analysis of thousands of human genomes Journal Article
| Authors: | Yakneen, S.; Waszak, S. M.; PCAWG Technical Working Group; Gertz, M.; Korbel, J. O.; PCAWG Consortium |
| Contributors: | Kahles, A.; Rätsch, G. |
| Article Title: | Butler enables rapid cloud-based analysis of thousands of human genomes |
| 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. © 2020, The Author(s). |
| Keywords: | adolescent; adult; child; aged; somatic mutation; genetics; nonhuman; comparative study; neoplasm; neoplasms; genes; biology; computational biology; cohort analysis; genetic variability; proteomics; peer review; human genome; benchmarking; software; diseases; genome, human; cancer genome; rna analysis; computational tools; procedures; genomic analysis; data processing; human genomes; humans; human; male; female; priority journal; article; whole genome sequencing; data handling; anomaly detection; malignant neoplasm; cloud computing; academic clouds; data processing and analysis; self-healing; time-efficient; butler workflow; outlier detection |
| Journal Title: | Nature Biotechnology |
| Volume: | 38 |
| Issue: | 3 |
| ISSN: | 1087-0156 |
| Publisher: | Nature Publishing Group |
| Date Published: | 2020-03-01 |
| Start Page: | 288 |
| End Page: | 292 |
| Language: | English |
| DOI: | 10.1038/s41587-019-0360-3 |
| PUBMED: | 32024987 |
| PROVIDER: | scopus |
| PMCID: | PMC7062635 |
| DOI/URL: | |
| Notes: | Article -- Erratum issued, see DOI: 10.1038/s41587-020-0448-9 -- Export Date: 1 June 2020 -- Source: Scopus |
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