Toward FAIR Representations of Microbial Interactions.

ABSTRACT: Despite an ever-growing number of data sets that catalog and characterize interactions between microbes in different environments and conditions, many of these data are neither easily accessible nor intercompatible. These limitations present a major challenge to microbiome research by hindering the streamlined drawing of inferences across studies. Here, we propose guiding principles to make microbial interaction data more findable, accessible, interoperable, and reusable (FAIR). We outline specific use cases for interaction data that span the diverse space of microbiome research, and discuss the untapped potential for new insights that can be fulfilled through broader integration of microbial interaction data. These include, among others, the design of intercompatible synthetic communities

SUBMITTER: Pacheco AR 

PROVIDER: S-EPMC9599284 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature