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- W2072370143 abstract "We present a formulation of the Needleman–Wunsch type algorithm for sequence alignment in which the mutation matrix is allowed to vary under the control of a hidden Markov process. The fully trainable model is applied to two problems in bioinformatics: the recognition of related gene/protein names and the alignment and scoring of homologous proteins." @default.
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- W2072370143 date "2003-02-01" @default.
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- W2072370143 title "Hidden Markov models and optimized sequence alignments" @default.
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- W2072370143 doi "https://doi.org/10.1016/s1476-9271(02)00096-8" @default.
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