Rapid annotation of anonymous sequences from genome projects using semantic similarities and a weighting scheme in gene ontology.

ABSTRACT:

Background

Large-scale sequencing projects have now become routine lab practice and this has led to the development of a new generation of tools involving function prediction methods, bringing the latter back to the fore. The advent of Gene Ontology, with its structured vocabulary and paradigm, has provided computational biologists with an appropriate means for this task.

Methodology

We present here a novel method called ARGOT (Annotation Retrieval of Gene Ontology Terms) that is able to process quickly thousands of sequences for functional inference. The tool exploits for the first time an integrated approach which combines clustering of GO terms, based on their semantic similarities, with a weighting scheme which assesses retrieved hits sharing a certain number of biologic

SUBMITTER: Fontana P 

PROVIDER: S-EPMC2645684 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature