Community-led, integrated, reproducible multi-omics with anvi'o

Research output: Contribution to journalEditorialResearchpeer-review

  • A. Murat Eren
  • Evan Kiefl
  • Alon Shaiber
  • Iva Veseli
  • Samuel E. Miller
  • Matthew S. Schechter
  • Isaac Fink
  • Jessica N. Pan
  • Mahmoud Yousef
  • Emily C. Fogarty
  • Florian Trigodet
  • Andrea R. Watson
  • Ozcan C. Esen
  • Ryan M. Moore
  • Quentin Clayssen
  • Michael D. Lee
  • Veronika Kivenson
  • Elaina D. Graham
  • Bryan D. Merrill
  • Antti Karkman
  • Daniel Blankenberg
  • John M. Eppley
  • Andreas Sjodin
  • Jarrod J. Scott
  • Xabier Vazquez-Campos
  • Luke J. McKay
  • Elizabeth A. McDaniel
  • Sarah L. R. Stevens
  • Rika E. Anderson
  • Jessika Fuessel
  • Lois Maignien
  • Tom O. Delmont
  • Amy D. Willis

Big data abound in microbiology, but the workflows designed to enable researchers to interpret data can constrain the biological questions that can be asked. Five years after anvi'o was first published, this community-led multi-omics platform is maturing into an open software ecosystem that reduces constraints in 'omics data analyses.

Original languageEnglish
JournalNature Microbiology
Issue number1
Pages (from-to)3-6
Number of pages4
Publication statusPublished - 2021

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