Omnicrobe, an open-access database of microbial habitats and phenotypes using a comprehensive text mining and data fusion approach.

ABSTRACT: The dramatic increase in the number of microbe descriptions in databases, reports, and papers presents a two-fold challenge for accessing the information: integration of heterogeneous data in a standard ontology-based representation and normalization of the textual descriptions by semantic analysis. Recent text mining methods offer powerful ways to extract textual information and generate ontology-based representation. This paper describes the design of the Omnicrobe application that gathers comprehensive information on habitats, phenotypes, and usages of microbes from scientific sources of high interest to the microbiology community. The Omnicrobe database contains around 1 million descriptions of microbe properties. These descriptions are created by analyzing and combining six informatio

SUBMITTER: Derozier S 

PROVIDER: S-EPMC9858090 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature