The Choice between MapMan and Gene Ontology for Automated Gene Function Prediction in Plant Science.

ABSTRACT: Since the introduction of the Gene Ontology (GO), the analysis of high-throughput data has become tightly coupled with the use of ontologies to establish associations between knowledge and data in an automated fashion. Ontologies provide a systematic description of knowledge by a controlled vocabulary of defined structure in which ontological concepts are connected by pre-defined relationships. In plant science, MapMan and GO offer two alternatives for ontology-driven analyses. Unlike GO, initially developed to characterize microbial systems, MapMan was specifically designed to cover plant-specific pathways and processes. While the dependencies between concepts in MapMan are modeled as a tree, in GO these are captured in a directed acyclic graph. Therefore, the difference in ontologies may

SUBMITTER: Klie S 

PROVIDER: S-EPMC3384976 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature