title: Genome sequences and great expectations.
abstract: To assess how automatic function assignment will contribute to genome annotation in the next five years, we have performed an analysis of 31 available genome sequences. An emerging pattern is that function can be predicted for almost two-thirds of the 73,500 genes that were analyzed. Despite progress in computational biology, there will always be a great need for large-scale experimental determination of protein function.
authors.affiliation: Computational Genomics Group, Research Programme, The European Bioinformatics Institute, EMBL Cambridge Outstation, Cambridge, CB10 1SD, UK.
authors.forename: I
authors.initials: I
authors.lastname: Iliopoulos
authors.forename: S
authors.initials: S
authors.lastname: Tsoka
authors.forename: M A
authors.initials: MA
authors.lastname: Andrade
authors.forename: P
authors.initials: P
authors.lastname: Janssen
authors.forename: B
authors.initials: B
authors.lastname: Audit
authors.forename: A
authors.initials: A
authors.lastname: Tramontano
authors.forename: A
authors.initials: A
authors.lastname: Valencia
authors.forename: C
authors.initials: C
authors.lastname: Leroy
authors.forename: C
authors.initials: C
authors.lastname: Sander
authors.forename: C A
authors.initials: CA
authors.lastname: Ouzounis
mesh_terms: D000818:Animals; D016678:Genome; D015894:Genome, Human; D023281:Genomics / Q000379:methods / Q000639:trends; D006801:Humans; D020543:Proteome; D017422:Sequence Analysis, DNA / Q000379:methods / Q000639:trends
chemical_list: D020543:Proteome