Butler enables rapid cloud-based analysis of thousands of human genomes
(2020) In Nature Biotechnology 38(3). p.288-292- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/937aa1b1-6488-4110-90c0-09f638a5ec5a
- author
- Yakneen, Sergei ; Waszak, Sebastian M ; Gertz, Michael and Korbel, Jan O
- contributor
- Borg, Åke LU ; Ringnér, Markus LU and Staaf, Johan LU
- author collaboration
- organization
- publishing date
- 2020-03
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Cloud Computing, Computational Biology/methods, Genome, Human, Humans, Neoplasms/genetics, Software
- in
- Nature Biotechnology
- volume
- 38
- issue
- 3
- pages
- 288 - 292
- publisher
- Nature Publishing Group
- external identifiers
-
- pmid:32024987
- scopus:85079041410
- ISSN
- 1546-1696
- DOI
- 10.1038/s41587-019-0360-3
- language
- English
- LU publication?
- yes
- id
- 937aa1b1-6488-4110-90c0-09f638a5ec5a
- date added to LUP
- 2023-03-29 17:26:07
- date last changed
- 2024-10-04 12:43:21
@article{937aa1b1-6488-4110-90c0-09f638a5ec5a, abstract = {{<p>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.</p>}}, author = {{Yakneen, Sergei and Waszak, Sebastian M and Gertz, Michael and Korbel, Jan O}}, issn = {{1546-1696}}, keywords = {{Cloud Computing; Computational Biology/methods; Genome, Human; Humans; Neoplasms/genetics; Software}}, language = {{eng}}, number = {{3}}, pages = {{288--292}}, publisher = {{Nature Publishing Group}}, series = {{Nature Biotechnology}}, title = {{Butler enables rapid cloud-based analysis of thousands of human genomes}}, url = {{http://dx.doi.org/10.1038/s41587-019-0360-3}}, doi = {{10.1038/s41587-019-0360-3}}, volume = {{38}}, year = {{2020}}, }