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Integrating Computational Methods to Investigate the Macroecology of Microbiomes

Studies in microbiology have long been mostly restricted to small spatial scales. However, recent technological advances, such as new sequencing methodologies, have ushered an era of large-scale sequencing of environmental DNA data from multiple biomes worldwide. These global datasets can now be use...

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Автори: Rilquer Mascarenhas, Flávia M. Ruziska, Eduardo Freitas Moreira, Amanda B. Campos, Miguel Loiola, Kaike Reis, Amaro E. Trindade-Silva, Felipe A. S. Barbosa, Lucas Salles, Rafael Menezes, Rafael Veiga, Felipe H. Coutinho, Bas E. Dutilh, Paulo R. Guimarães, Ana Paula A. Assis, Anderson Ara, José G. V. Miranda, Roberto F. S. Andrade, Bruno Vilela, Pedro Milet Meirelles
Формат: Artigo
Мова:Inglês
Опубліковано: Frontiers Media S.A. 2020-01-01
Серія:Frontiers in Genetics
Предмети:
microbial community modeling
microbial macroecology
spatial scales
machine learning
co-occurrence networks
Онлайн доступ:https://www.frontiersin.org/article/10.3389/fgene.2019.01344/full
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