• Medientyp: E-Artikel
  • Titel: Butler enables rapid cloud-based analysis of thousands of human genomes
  • Beteiligte: Yakneen, Sergei; Waszak, Sebastian M.; Aminou, Brice; Bartolome, Javier; Boroevich, Keith A.; Boyce, Rich; Brooks, Angela N.; Buchanan, Alex; Buchhalter, Ivo; Butler, Adam P.; Byrne, Niall J.; Cafferkey, Andy; Campbell, Peter J.; Chen, Zhaohong; Cho, Sunghoon; Choi, Wan; Clapham, Peter; Davis-Dusenbery, Brandi N.; De La Vega, Francisco M.; Demeulemeester, Jonas; Dow, Michelle T.; Dursi, Lewis Jonathan; Eils, Juergen; Eils, Roland; [...]
  • Erschienen: Springer Science and Business Media LLC, 2020
  • Erschienen in: Nature Biotechnology
  • Sprache: Englisch
  • DOI: 10.1038/s41587-019-0360-3
  • ISSN: 1087-0156; 1546-1696
  • Schlagwörter: Biomedical Engineering ; Molecular Medicine ; Applied Microbiology and Biotechnology ; Bioengineering ; Biotechnology
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title><jats: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.</jats:p>