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Ontology-based validation and identification of regulatory phenotypes
Author(s) -
Maxat Kulmanov,
Paul N. Schofield,
Georgios V. Gkoutos,
Robert Hoehndorf
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty605
Subject(s) - identification (biology) , ontology , computer science , computational biology , phenotype , data mining , biology , gene , genetics , philosophy , botany , epistemology
Function annotations of gene products, and phenotype annotations of genotypes, provide valuable information about molecular mechanisms that can be utilized by computational methods to identify functional and phenotypic relatedness, improve our understanding of disease and pathobiology, and lead to discovery of drug targets. Identifying functions and phenotypes commonly requires experiments which are time-consuming and expensive to carry out; creating the annotations additionally requires a curator to make an assertion based on reported evidence. Support to validate the mutual consistency of functional and phenotype annotations as well as a computational method to predict phenotypes from function annotations, would greatly improve the utility of function annotations.

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