Computational Methods for Annotation Transfers from Sequence.

Journal: Methods in molecular biology (Clifton, N.J.)
Published Date:

Abstract

Surveys of public sequence resources show that experimentally supported functional information is still completely missing for a considerable fraction of known proteins and is clearly incomplete for an even larger portion. Bioinformatics methods have long made use of very diverse data sources alone or in combination to predict protein function, with the understanding that different data types help elucidate complementary biological roles. This chapter focuses on methods accepting amino acid sequences as input and producing GO term assignments directly as outputs; the relevant biological and computational concepts are presented along with the advantages and limitations of individual approaches.

Authors

  • Domenico Cozzetto
    Bioinformatics Group, Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, UK.
  • David T Jones
    Department of Computer Science, Bioinformatics Group, University College London, Gower Street, London, WC1E 6BT, United Kingdom. d.t.jones@ucl.ac.uk.