Pinned Repositories
Azorhizobium_GEM
GEM_paper_O.oeni
Codes using for analyzing data in paper 'Deciphering mechanisms of Oenococcus oeni combating acidic stress by integrative omics and genome-scale metabolic modeling'
kClust
kClust is a fast and sensitive clustering method for the clustering of protein sequences. It is able to cluster large protein databases down to 20-30% sequence identity. kClust generates a clustering where each cluster is represented by its longest sequence (representative sequence).
wh960823's Repositories
wh960823/Azorhizobium_GEM
wh960823/GEM_paper_O.oeni
Codes using for analyzing data in paper 'Deciphering mechanisms of Oenococcus oeni combating acidic stress by integrative omics and genome-scale metabolic modeling'
wh960823/kClust
kClust is a fast and sensitive clustering method for the clustering of protein sequences. It is able to cluster large protein databases down to 20-30% sequence identity. kClust generates a clustering where each cluster is represented by its longest sequence (representative sequence).