EcoParse discovers genes in E. coli. GeneID is an Artificial Intelligence system for predicting vertebrate gene structure. Genemark relies upon an Inhomogeneous Markov Model to predict genes. GeneParser employs a neural network to find genes. GeneQuiz provides highly automated analysis of biological sequences.
Genie uses statistical methods and neural networks to model gene structures.
GenLang uses the tools and techniques of computational linguistics to find genes. It differs from the majority of existing gene finding algorithms in that it allows for partial genes as well as complete genes and for the occurrence of multiple genes in a single sequence, on either or both DNA strands. Glimmer is a system for finding genes in microbial DNA and uses Markov models. GrailEXP is a software package that predicts exons, genes, promoters, polyas, CpG islands, EST similarities, and repetitive elements. MetaGene 2.6 allows the researcher to submit sequences to seven gene prediction engines simultaneously to obtain a comprehensive report on sequence features.