APRICOT-1.0 files required for tutorial and demonstration

This folder contains the basic files required to run the APRICOT pipeline for tutorial and demonstration purpose.

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.

The step-by-step tutorial that requires this dataset is available at: https://github.com/malvikasharan/APRICOT/blob/master/APRICOT_tutorial.md

The source codes of APRICOT are available via git https://github.com/malvikasharan/APRICOT and pip https://pypi.python.org/pypi/bio-apricot.