TY - DATA
T1 - Profile hidden Markov models trained on aligned KEGG Orthology sequences for enzyme annotation
PY - 2019/10/07
AU - S.Y.A. (Sander) Rodenburg
UR - https://data.4tu.nl/articles/dataset/Profile_hidden_Markov_models_trained_on_aligned_KEGG_Orthology_sequences_for_enzyme_annotation/12708584/1
DO - 10.4121/uuid:9b6e6aa0-b815-409f-9e96-04828b03290b
KW - Annotation
KW - Bioinformatics
KW - Enzymes
KW - HMM
KW - Hidden markov models
KW - Homology
KW - KEGG
KW - Kyoto Encyclopedia of Genes and Genomes
KW - Proteins
N2 - 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
Marco Thines, Rahul Sharma, Sander Y. A. Rodenburg, Anna Gogleva, Howard S. Judelson, Xiaojuan Xia, Johan van den Hoogen, Miloslav Kitner, Joël Klein, Manon Neilen, Dick de Ridder, Michael F. Seidl, Guido Van den Ackerveken, Francine Govers, Sebastian Schornack, David J. Studholme

Draft version of the manuscript can be found with https://doi.org/10.1101/721027 
A peer-reviewed version will appear online soon.

NOTE: These HMMs are for reviewing purposes, and are based on an old version of KEGG (2016).
ER -