Reference : COMPARTMENTS: unification and visualization of protein subcellular localization evidence.
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/27111
COMPARTMENTS: unification and visualization of protein subcellular localization evidence.
English
Binder, Janos X. mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Pletscher-Frankild, Sune [> >]
Tsafou, Kalliopi [> >]
Stolte, Christian [> >]
O'Donoghue, Sean I. [> >]
Schneider, Reinhard mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) >]
Jensen, Lars Juhl [> >]
2014
Database: the Journal of Biological Databases and Curation
Oxford University Press
2014
bau012
Yes
1758-0463
1758-0463
1758-0463
England
[en] Cell Compartmentation ; Data Mining ; Databases, Protein ; Humans ; Internet ; Proteins/metabolism ; Subcellular Fractions/metabolism
[en] 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. Database URL: http://compartments.jensenlab.org.
http://hdl.handle.net/10993/27111

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