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Finding Genes by Hidden Markov Models with a Protein Motif Dictionary
1996
Genome Informatics Series
A new method for combining protein motif dictionary to gene finding system is proposed. The system consists of Hidden Markov Models (HMMs) and a dictionary. The HMMs represents the nucleotide acid bases, the codons, and the amino acids. The 'words' in the dictionary is described by the sequence of these HMMs and represent the noncoding regions, the codons, protein motifs, tRNA regions and signals in DNA sequences. The statistics between these regions are expressed by the "grammar", which is a
doi:10.11234/gi1990.7.88
fatcat:vdycwpuol5ebfgderwc5iofaki