Combining evidence, biomedical literature and statistical dependence: new insights for functional annotation of gene sets.

ABSTRACT:

Background

Large-scale genomic studies based on transcriptome technologies provide clusters of genes that need to be functionally annotated. The Gene Ontology (GO) implements a controlled vocabulary organised into three hierarchies: cellular components, molecular functions and biological processes. This terminology allows a coherent and consistent description of the knowledge about gene functions. The GO terms related to genes come primarily from semi-automatic annotations made by trained biologists (annotation based on evidence) or text-mining of the published scientific literature (literature profiling).

Results

We report an original functional annotation method based on a combination of evidence and literature that overcomes the weaknesses and the limitations of each appr

SUBMITTER: Aubry M 

PROVIDER: S-EPMC1482722 | biostudies-literature | 2006 May

REPOSITORIES: biostudies-literature