Research output per year
Research output per year
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
The genome of Peronospora belbahrii reveals high heterozygosity, a low number of canonical effectors and CT-rich promoters
| Date made available | 7 Oct 2019 |
|---|---|
| Publisher | Wageningen University & Research |
| Date of data production | 2016 |
Keywords
- annotation
- bioinformatics
- enzymes
- hidden Markov models
- HMM
- homology
- KEGG
- Kyoto Encyclopedia of Genes and Genomes
- proteins
Research output
- 1 Preprint
-
The genome of Peronospora belbahrii reveals high heterozygosity, a low number of canonical effectors and CT-rich promoters
Thines, M., Sharma, R., Rodenburg, Y. A., Gogleva, A., Judelson, H. S., Xia, X., van den Hoogen, D. J., Kitner, M., Klein, J., Neilen, M., de Ridder, D., Seidl, M. F., van den Ackerveken, G., Govers, F., Schornack, S. & Studholme, D. J., 31 Jul 2019, BioRxiv.Research output: Working paper › Preprint
Open Access