期刊
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
卷 -, 期 -, 页码 -出版社
OXFORD UNIV PRESS
DOI: 10.1093/database/bau012
关键词
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资金
- Luxembourg Centre for Systems Biomedicine
- Novo Nordisk Foundation Center for Protein Research
- EMBL International PhD Programme
- EMBO short-term fellowship [295-2012]
- CSIRO's Office of the Chief Executive
- CSIRO's Computation and Simulation Sciences platform
- Novo Nordisk Foundation Center for Protein Research [PI Lars Juhl Jensen] Funding Source: researchfish
Information on protein subcellular localization is important to understand the cellular functions of proteins. Currently, such information is manually curated from the literature, obtained from high-throughput microscopy-based screens and predicted from primary sequence. To get a comprehensive view of the localization of a protein, it is thus necessary to consult multiple databases and prediction tools. To address this, we present the COMPARTMENTS resource, which integrates all sources listed above as well as the results of automatic text mining. The resource is automatically kept up to date with source databases, and all localization evidence is mapped onto common protein identifiers and Gene Ontology terms. We further assign confidence scores to the localization evidence to facilitate comparison of different types and sources of evidence. To further improve the comparability, we assign confidence scores based on the type and source of the localization evidence. Finally, we visualize the unified localization evidence for a protein on a schematic cell to provide a simple overview.
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