Abstract
Understanding human variation and disease often requires knowledge of a broad array of biomolecular data items, down to the role of an individual amino acid in a protein, and how mutations or alternative splicing events can change function and phenotype. There are a number of key databases that collect biomolecular information; the EMBL DNA database (Cochrane et al. 2006) and Ensembl (Flicek et al. 2007) collect annotations on genomic sequence features, the UniProt knowledge base (Bairoch et al. 2005) provides detailed annotation on protein sequences, and the Worldwide PDB member databases (Berman et al. 2007) provide protein structural information. Whilst these databases house a great deal of information on sequences and structures, the advent of high throughput methods in genome sequencing and structural genomics initiatives has produced an explosion in the quantity of uncharacterised data. As a result, the development of tools which annotate these sequences and structures by prediction or transfer of information from homologous relatives has also increased in number and diversity. These methods are crucial in order to fill in the functional space between characterised and uncharacterised protein sequences and structures.
These authors contributed equally.
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Reeves, G.A., Prlic, A., Jimenez, R.C., Kulesha, E., Hermjakob, H. (2008). Infrastructure for distributed protein annotation. In: Frishman, D., Valencia, A. (eds) Modern Genome Annotation. Springer, Vienna. https://doi.org/10.1007/978-3-211-75123-7_18
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DOI: https://doi.org/10.1007/978-3-211-75123-7_18
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