[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.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Binder, Janos X. ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Pletscher-Frankild, Sune
Tsafou, Kalliopi
Stolte, Christian
O'Donoghue, Sean I.
Schneider, Reinhard ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Jensen, Lars Juhl
External co-authors :
yes
Language :
English
Title :
COMPARTMENTS: unification and visualization of protein subcellular localization evidence.
Publication date :
2014
Journal title :
Database: The Journal of Biological Databases and Curation