Please refer to the uploaded user manual for instructions on installing and using the tool. If you find our software tool useful, kindly cite the following paper:
• Akhter, S. and Miller, J.H., 2023. BaPreS: a software tool for predicting bacteriocins using an optimal set of features. BMC Bioinformatics, 24(1), p.313.
If our web application for this tool (https://shiny.tricities.wsu.edu/bacteriocin-prediction/) is helpful, please cite the following paper:
• Akhter, S. and Miller, J.H., BPAGS: A web application for bacteriocin prediction via feature evaluation using alternating decision tree, genetic algorithm, and linear support vector classifier. Frontiers in Bioinformatics, 3, p.1284705.
Please contact me at suraiya.akhter@wsu.edu for any questions or comments. Thank you.