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

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; Antonio Fernandez-Guerra; Lois Maignien; Tom O. Delmont; Amy D. Willis

doi:10.1038/s41564-020-00834-3

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

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 KarkmanDaniel 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, Antonio Fernandez-Guerra, Lois Maignien, Tom O. Delmont, Amy D. Willis

^*Corresponding author af dette arbejde

Section for Geogenetics

Publikation: Bidrag til tidsskrift › Leder › Forskning › peer review

460 Citationer (Scopus)

Abstract

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.

Originalsprog	Engelsk
Tidsskrift	Nature Microbiology
Vol/bind	6
Udgave nummer	1
Sider (fra-til)	3-6
Antal sider	4
ISSN	2058-5276
DOI	https://doi.org/10.1038/s41564-020-00834-3
Status	Udgivet - 2021

Adgang til dokumentet

10.1038/s41564-020-00834-3

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116326/pdf/nihms-1700564.pdfLicens: Ikke-specificeret

Citationsformater

Eren, A. M., Kiefl, E., Shaiber, A., Veseli, I., Miller, S. E., Schechter, M. S., Fink, I., Pan, J. N., Yousef, M., Fogarty, E. C., Trigodet, F., Watson, A. R., Esen, O. C., Moore, R. M., Clayssen, Q., Lee, M. D., Kivenson, V., Graham, E. D., Merrill, B. D., ... Willis, A. 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

Eren, AM, Kiefl, E, Shaiber, A, Veseli, I, Miller, SE, Schechter, MS, Fink, I, Pan, JN, Yousef, M, Fogarty, EC, Trigodet, F, Watson, AR, Esen, OC, Moore, RM, Clayssen, Q, Lee, MD, Kivenson, V, Graham, ED, Merrill, BD, Karkman, A, Blankenberg, D, Eppley, JM, Sjodin, A, Scott, JJ, Vazquez-Campos, X, McKay, LJ, McDaniel, EA, Stevens, SLR, Anderson, RE, Fuessel, J, Fernandez-Guerra, A, Maignien, L, Delmont, TO & Willis, AD 2021, 'Community-led, integrated, reproducible multi-omics with anvi'o', Nature Microbiology, bind 6, nr. 1, s. 3-6. https://doi.org/10.1038/s41564-020-00834-3

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abstract = "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.",

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AU - Schechter, Matthew S.

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AU - Sjodin, Andreas

AU - Scott, Jarrod J.

AU - Vazquez-Campos, Xabier

AU - McKay, Luke J.

AU - McDaniel, Elizabeth A.

AU - Stevens, Sarah L. R.

AU - Anderson, Rika E.

AU - Fuessel, Jessika

AU - Fernandez-Guerra, Antonio

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AU - Delmont, Tom O.

AU - Willis, Amy D.

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