Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources

Abstract

Sensitive probabilistic modeling of extrinsic evidence such as sequence database matches can increase gene prediction accuracy. When a match of a sequence interval to an EST or protein sequence is used it should be treated as compound information rather than as information about individual positions.