Butler enables rapid cloud-based analysis of thousands of human genomes

Sergei Yakneen, Sebastian M Waszak, Michael Gertz, Jan O Korbel, Åke Borg (Contributor), Markus Ringnér (Contributor), Johan Staaf (Contributor), PCAWG Technical Working Group, PCAWG Consortium

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)288-292
JournalNature Biotechnology
Issue number3
Publication statusPublished - 2020 Mar

Subject classification (UKÄ)

  • Bioinformatics (Computational Biology)

Free keywords

  • Cloud Computing
  • Computational Biology/methods
  • Genome, Human
  • Humans
  • Neoplasms/genetics
  • Software


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