Åke Borg
Principal investigator
Butler enables rapid cloud-based analysis of thousands of human genomes
Author
Other contributions
- Åke Borg
- Markus Ringnér
- Johan Staaf
Summary, in English
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.
Department/s
- LUCC: Lund University Cancer Centre
- Familial Breast Cancer
- Breastcancer-genetics
- Molecular Cell Biology
- Breast/lungcancer
- Division of Translational Cancer Research
- Research Group Lung Cancer
Publishing year
2020-03
Language
English
Pages
288-292
Publication/Series
Nature Biotechnology
Volume
38
Issue
3
Document type
Journal article
Publisher
Nature Publishing Group
Topic
- Bioinformatics (Computational Biology)
Keywords
- Cloud Computing
- Computational Biology/methods
- Genome, Human
- Humans
- Neoplasms/genetics
- Software
Status
Published
Research group
- Familial Breast Cancer
- Research Group Lung Cancer
ISBN/ISSN/Other
- ISSN: 1546-1696