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Automated Methods Enable Direct Computation on Phenotypic Descriptions for Novel Candidate Gene Prediction
2020
Frontiers in Plant Science
Natural language descriptions of plant phenotypes are a rich source of information for genetics and genomics research. We computationally translated descriptions of plant phenotypes into structured representations that can be analyzed to identify biologically meaningful associations. These representations include the entity-quality (EQ) formalism, which uses terms from biological ontologies to represent phenotypes in a standardized, semantically rich format, as well as numerical vector
doi:10.3389/fpls.2019.01629
pmid:31998331
pmcid:PMC6965352
fatcat:chcjhodaunbmtnvmnegbtdr3pi