Community-led, integrated, reproducible multi-omics with anvi'o
dc.contributor.author
Eren, A. Murat
dc.contributor.author
Clayssen, Quentin
dc.contributor.author
et al.
dc.date.accessioned
2021-02-19T18:33:18Z
dc.date.available
2021-01-13T06:06:10Z
dc.date.available
2021-02-19T18:33:18Z
dc.date.issued
2021-01
dc.identifier.issn
2058-5276
dc.identifier.other
10.1038/s41564-020-00834-3
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/461860
dc.description.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.
en_US
dc.language.iso
en
en_US
dc.publisher
Nature Publishing Group
en_US
dc.title
Community-led, integrated, reproducible multi-omics with anvi'o
en_US
dc.type
Other Journal Item
dc.date.published
2020-12-21
ethz.journal.title
Nature Microbiology
ethz.journal.volume
6
en_US
ethz.journal.issue
1
en_US
ethz.journal.abbreviated
Nat Microbiol
ethz.pages.start
3
en_US
ethz.pages.end
6
en_US
ethz.identifier.wos
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2021-01-13T06:06:14Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-02-19T18:33:29Z
ethz.rosetta.lastUpdated
2022-03-29T05:19:32Z
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true
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