Profile hidden Markov models trained on aligned KEGG Orthology sequences for enzyme annotation

Dataset

Description

Profile hidden Markov models trained on aligned KEGG Orthology sequences for enzyme annotation. These HMMs were used to reconstruct metabolic networks for the manuscript:
The genome of Peronospora belbahrii reveals high heterozygosity, a low number of canonical effectors and CT-rich promoters
Date made available7 Oct 2019
PublisherWageningen University & Research
Date of data production2016

Cite this

Rodenburg, Y. A. (Creator), de Ridder, D. (Contributor), Govers, F. (Contributor), Seidl, M. F. (Creator) (7 Oct 2019). Profile hidden Markov models trained on aligned KEGG Orthology sequences for enzyme annotation. Wageningen University & Research. 10.4121/uuid:9b6e6aa0-b815-409f-9e96-04828b03290b