PHOSFER uses a novel machine-learning approach in order to predict phosphorylation sites in soybean proteins, and will be expanded to predict for other plants in the future.
Bioinformatics Research Group, University of Saskatchewan
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B. Trost and A. Kusalik.
Computational phosphorylation site prediction in plants using random forests and organism-specific instance weights.
Bioinformatics 29(6):686-694, 2013.