GlimmerHMM Track Settings
GlimmerHMM Gene Predictions   (All Genes and Gene Prediction Tracks)

Display mode:   

Color track by codons: Help on codon coloring

Show codon numbering:

Display data as a density graph:

View table schema
Data last updated at UCSC: 2022-10-20


This track shows predictions from the GlimmerHMM program written by the Center for Bioinformatics and Computational Biology at the University of Maryland. GlimmerHMM is a new gene finder based on a Generalized Hidden Markov Model (GHMM). The predictions are based on transcriptional, translational, and donor/acceptor splicing signals, as well as the length and compositional distributions of exons, introns and intergenic regions.


Majoros, W.H., Pertea, M., and Salzberg, S.L. TigrScan and GlimmerHMM: two open-source ab initio eukaryotic gene-finders Bioinformatics 20 2878-2879.