The SUBcellular localisation database for Arabidopsis proteins (SUBA) is the central resource for Arabidopsis protein subcellular location data (http://suba.live). Subcellular location can be determined by fluorescent protein tagging or mass spectrometry detection in subcellular purifications and by prediction using protein sequence features. SUBA collates these data and offers data query and analyses functions through the SUBA website.
|Subcellular Localisation database for Arabidopsis proteins version 3
||The subcellular location database for Arabidopsis proteins SUBA3, http://suba.plantenergy.uwa.edu. au) combines manual literature curation of largescale subcellular proteomics, fluorescent protein visualization and protein–protein interaction (PPI) datasets with subcellular targeting calls from 22 prediction programs. Overall, nearly 650 000 new calls of subcellular location for Arabidopsis proteins (TAIR10) are included. To determine as objectively as possible where a particular protein is located, we have developed SUBAcon, a Bayesian approach that incorporates experimental localization and targeting prediction data to best estimate a protein’s location in the cell.
|Subcellular Localisation database for Arabidopsis proteins version 4
||SUBA (http://suba.live/) is the central resource for Arabidopsis protein subcellular location data. Proteins have specific functions and locations within the plant cell. They generate or are themselves products important for plant growth and response. Protein subcellular location and the proximity relationship of proteins are important clues to function within the metabolic household. Subcellular location can be determined by fluorescent protein tagging or mass spectrometry detection in subcellular purifications and by prediction using protein sequence features. SUBA provides a subcellular data query platform, protein sequence BLAST alignment, a high confidence subcellular locations reference standards and analytic tools.
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