BML: a web tool for detecting bipartite motifs by considering base interdependencies and Neural Networks

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Getting started

BML is an online tool that allows the user to easily discovery and analyze the results of Motifs. BML utilizes both position weight matrix (PWM) and dinucleotide weight matrix (DWM), the latter of which enables the expression of the interdependencies of neighboring bases. Users access two methods for motifs discovery from sequences data, first Classic way that users must set some parameters, and second users use of Parameter-Free (PF) way that do not need set parameters.

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You can access to Github server (Mohammad-Vahed/BML) to download and run by visual studio. If you used this tool for your work, please cite: "Vahed, Mohammad, Majid Vahed, and Lana X. Garmire. "BML: a versatile web server for bipartite motif discovery." Briefings in Bioinformatics 23, no. 1 (2022): bbab536."

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