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Description:

BaCelLo is a balanced subcellular localization predictor trained to  discriminate for five classes of subcellular localization (secretory pathway, cytoplasm, nucleus, mitochondrion and chloroplast) and it is based on different SVMs organized in a decision tree. The system exploits the information derived from the residue sequence and from the evolutionary information contained in alignment profiles.  Three kingdom-specific predictors are implemented: for animals, plants and fungi, respectively. The method has been described in Andrea Pierleoni, Pier Luigi Martelli, Piero Fariselli and Rita Casadio, BaCelLo: a Balanced subCellular Localization predictor, Bioinformatics, 22, e408-e416 (2006).

License: BioDec