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. 2003 Jul 1;31(13):3736-7.
doi: 10.1093/nar/gkg550.

Bioverse: Functional, structural and contextual annotation of proteins and proteomes

Affiliations

Bioverse: Functional, structural and contextual annotation of proteins and proteomes

Jason McDermott et al. Nucleic Acids Res. .

Abstract

Functional annotation is routinely performed for large-scale genomics projects and databases. Researchers working on more specific problems, for instance on an individual pathway or complex, also need to be able to quickly, completely and accurately annotate sequences. The Bioverse sequence annotation server (http://bioverse.compbio.washington.edu) provides a web-based interface to allow users to submit protein sequences to the Bioverse framework. Sequences are functionally and structurally annotated and potential contextual annotations are provided. Researchers can also submit candidate genomes for annotation of all proteins encoded by the genome (proteome).

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Figures

Figure 1
Figure 1
Screen shot of the Bioverse record interface showing the main sections with some expanded subsections. Sequence-based data is displayed horizontally starting with the first residue in the style of a sequence alignment. Confidence values are assigned to objects based on the evidence available for that object.

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References

    1. Altschul S.F., Gish,W., Miller,W., Myers,E.W. and Lipman,D.J. (1990) Basic local alignment search tool. J. Mol. Biol., 215, 403–410. - PubMed
    1. Berman H.M., Westbrook,J., Feng,Z., Gilliland,G., Bhat,T.N., Weissig,H., Shindyalov,I.N. and Bourne,P.E. (2000) The Protein Data Bank. Nucleic Acids Res., 28, 235–242. - PMC - PubMed
    1. Ikeda M., Arai,M., Lao,D.M. and Shimizu,T. (2002) Transmembrane topology prediction methods: a re-assessment and improvement by a consensus method using a dataset of experimentally-characterized transmembrane topologies. In Silico Biol., 2, 19–33. - PubMed
    1. Jones D.T. (1999) Protein secondary structure prediction based on position-specific scoring matrices. J. Mol. Biol., 292, 195–202. - PubMed
    1. Hofmann K., Bucher,P., Falquet,L. and Bairoch,A. (1999) The PROSITE database, its status in 1999. Nucleic Acids Res., 27, 215–219. - PMC - PubMed

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