Community-led, integrated, reproducible multi-omics with anvi’o
Date
2020-12Author
Eren, A. Murat
Kiefl, Evan
Shaiber, Alon
Veseli, Iva
Miller, Samuel E.
Schechter, Matthew S.
Fink, Isaac
Pan, Jessica N.
Yousef, Mahmoud
Fogarty, Emily C.
Trigodet, Florian
Watson, Andrea R.
Esen, Ozcan C.
Moore, Ryan M.
Clayssen, Quentin
Lee, Michael D.
Kivenson, Veronika
Graham, Elaina D.
Merrill, Bryan D.
Karkman, Antti
Blankenberg, Daniel
Eppley, John M.
Sjodin, Andreas
Scott, Jarrod J.
Vazquez-Campos, Xabier
McKay, Luke J.
McDaniel, Elizabeth A.
Stevens, Sarah L.R.
Anderson, Rika E.
Fuessel, Jessika
Fernandez-Guerra, Antonio
Maignien, Lois
Delmont, Tom O.
Willis, Amy D.
Metadata
Show full item recordAbstract
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.
Citation
Eren, A. M., Kiefl, E., Shaiber, A., Veseli, I., Miller, S. E., Schechter, M. S., ... & Willis, A. D. (2021). Community-led, integrated, reproducible multi-omics with anvi’o. Nature microbiology, 6(1), 3-6.