BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences

In this research, Jim Collins, faculty lead for life sciences at the MIT Jameel Clinic, and colleagues present BioAutoMATED, an automated Machine Learning (AutoML) platform for biological sequence analysis that integrates multiple AutoML methods into a unified framework. ML and other artificial intelligence (AI) tools can dramatically speed up the process of data analysis, but most ML tools are difficult for non-ML experts to access and use. BioAutoMATED is a comprehensive AutomatedML platform that is user-friendly for users with little to no ML experience. Users are automatically provided with relevant techniques for analysing, interpreting and designing biological sequences. BioAutoMATED predicts gene regulation, peptide-drug interactions, and glycan annotation and designs optimised synthetic biology components, revealing salient sequence characteristics. By automating sequence modelling, BioAutoMATED allows life scientists to incorporate ML more readily into their work.