Unit
UNIT 4.6 Eukaryotic Gene Prediction Using GeneMark.hmm-E and GeneMark-ES
Published Online: 1 SEP 2011
DOI: 10.1002/0471250953.bi0406s35
Copyright © 2011 by John Wiley & Sons, Inc.
Lab Protocol Title

Current Protocols in Bioinformatics
Additional Information
How to Cite
Borodovsky, M. and Lomsadze, A. 2011. Eukaryotic Gene Prediction Using GeneMark.hmm-E and GeneMark-ES. Current Protocols in Bioinformatics. 35:4.6:4.6.1–4.6.10.
Publication History
- Published Online: 1 SEP 2011
- Published Print: SEP 2011
Abstract
This unit describes how to use the gene-finding programs GeneMark.hmm-E and GeneMark-ES for finding protein-coding genes in the genomic DNA of eukaryotic organisms. These bioinformatics tools have been demonstrated to have state-of-the-art accuracy for many fungal, plant, and animal genomes, and have frequently been used for gene annotation in novel genomic sequences. An additional advantage of GeneMark-ES is that the problem of algorithm parameterization is solved automatically, with parameters estimated by iterative self-training (unsupervised training). Curr. Protoc. Bioinform. 35:4.6.1-4.6.10. © 2011 by John Wiley & Sons, Inc.
Keywords:
- gene finding;
- hidden Markov model;
- unsupervised parameter estimation
