APRICOT - A tool for sequence-based identification and characterization of protein classes
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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 large protein sets or the entire proteome.
Source code
APRICOT source codes for APRICOT are available on https://github.com/malvikasharan/APRICOT and https://pypi.python.org/pypi/bio-apricot.
Metadata can be seen here: https://microbadger.com/#/images/malvikasharan/apricot
Contact
For questions about troubleshooting and requests, please feel free to contact Malvika Sharan at [email protected].
Content type
Image
Digest
Size
881 MB
Last updated
about 9 years ago
docker pull malvikasharan/apricot