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Sequence Alignments and Pair Hidden Markov Models Using Evolutionary History

โœ Scribed by Bjarne Knudsen; Michael M. Miyamoto


Book ID
116661109
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
303 KB
Volume
333
Category
Article
ISSN
0022-2836

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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 a