Community-led, integrated, reproducible multi-omics with anvi’o
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.
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 Özcan C., Moore Ryan M., Clayssen Quentin, Lee Michael D., Kivenson Veronika, Graham Elaina D., Merrill Bryan D., Karkman Antti, Blankenberg Daniel, Eppley John M., Sjödin Andreas, Scott Jarrod J., Vázquez-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. (2021). Community-led, integrated, reproducible multi-omics with anvi’o. Nature Microbiology. 6 (1). 3-6. https://doi.org/10.1038/s41564-020-00834-3, https://archimer.ifremer.fr/doc/00666/77762/
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