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Omnicrobe, an open-access database of microbial habitats and phenotypes using a comprehensive text mining and data fusion approach
[article]
2022
bioRxiv
pre-print
The dramatic increase in the amount 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
doi:10.1101/2022.07.21.500958
fatcat:sak4uhbqmzefhaepzv74swq3ii