APRICOT is a computational pipeline for the identification of specific functional classes of interest in large protein sets. The pipeline uses efficient sequence-based algorithms and predictive models like signature motifs of protein families for the characterization of user-provided query proteins with specific functional features. The dynamic framework of APRICOT allows the identification of unexplored functional classes of interest in the large protein sets or the entire proteome.
Metadata can be seen here: https://microbadger.com/#/images/malvikasharan/apricot
For question, troubleshooting and requests, please feel free to contact Malvika Sharan at firstname.lastname@example.org