CRISPRCasStack is a web service capable of accurately identifying Cas proteins and comprehensively predicting relevant components of the CRISPR-Cas system, with the aim of precisely identifying Cas proteins that cannot currently be identified based on homology through a machine learning-based approach.
We have built a stacking-based two-layer model for Cas protein identification by encoding features of existing Cas proteins based on sequence patterns, physiochemical properties, evolutionary information, and deep representation learning. We then integrated a range of state-of-the-art tools for gene prediction and CRISPR array detection to build a user-friendly CRISPRCasStack web service for one-stop prediction of potential CRISPR-Cas system-related components in bacteria and archaea. For instructions and details on how to use CRISPRCasStack, please see the HELP page.
