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Predict
STEP3 is an effective algorithm and toolkit for predicting high-throughput phage virion (structual) proteins.
It ensembles five PSSM-based models, to accurately identify phage virion (structual) proteins. Additionally,
for each predicted phage virion (structual) proteins, STEP3 visualizes its closest relationship with known phage virion (structual) proteins
based on the sequence similarity, phylogenetic tree and similarity network, as to facilitate users infer its possible subtype.
If you find our work useful for your
research work, please cite:
- Thung T.Y, White M, Dai W et al. A machine-learning approach to define the component parts of bacteriophage virions. 2020, to be submitted.