Software for analysis, grouping and functional prediction of DNA and protein sequences as described in:
Busk P.K. (2017). Peptide Pattern Recognition for high-throughput protein sequence analysis and clustering. BioRxiv. doi: https://doi.org/10.1101/181917.
Busk P.K. and Lange L. (2013). Function-based classification of carbohydrate-active enzymes by recognition of short, conserved peptide motifs. Appl Environ Microbiol. 79(11), 3380-91.
Busk P.K. Lange M. Pilgaard B. and Lange L. (2014). Several genes encoding enzymes with the same activity are necessary for aerobic fungal degradation of cellulose in nature. PLoS One, 9, e114138.
Follow Peptide Pattern Recognition
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Peptide Pattern Recognition!