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Community-led, integrated, reproducible multi-omics with anvi’o
Nature Microbiology ( IF 20.5 ) Pub Date : 2020-12-21 , DOI: 10.1038/s41564-020-00834-3
A Murat Eren 1, 2, 3, 4 , Evan Kiefl 1, 4 , Alon Shaiber 1, 4 , Iva Veseli 1, 4 , Samuel E Miller 1 , Matthew S Schechter 1, 2 , Isaac Fink 1 , Jessica N Pan 1 , Mahmoud Yousef 1 , Emily C Fogarty 1, 2 , Florian Trigodet 1 , Andrea R Watson 1, 2 , Özcan C Esen 1 , Ryan M Moore 5 , Quentin Clayssen 6 , Michael D Lee 7, 8 , Veronika Kivenson 9 , Elaina D Graham 10 , Bryan D Merrill 11 , Antti Karkman 12 , Daniel Blankenberg 13, 14 , John M Eppley 15 , Andreas Sjödin 16 , Jarrod J Scott 17 , Xabier Vázquez-Campos 18 , Luke J McKay 19, 20 , Elizabeth A McDaniel 21 , Sarah L R Stevens 22, 23 , Rika E Anderson 24 , Jessika Fuessel 1 , Antonio Fernandez-Guerra 25 , Lois Maignien 3, 26 , Tom O Delmont 27 , Amy D Willis 28
Affiliation  

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.

中文翻译:

社区主导、集成、可重复的多组学与 anvi'o

微生物学中有大量大数据,但旨在使研究人员能够解释数据的工作流程可能会限制可以提出的生物学问题。anvi'o 首次发布五年后,这个以社区为主导的多组学平台正在成熟为一个开放的软件生态系统,以减少“组学数据分析”中的限制。
更新日期:2020-12-21
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