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Biological sequence alignment is one of the crucial tasks of
computational biology, and provides base for other tasks of
bioinformatics. It has been consistent effort of researchers to
employ different techniques for sequence alignment so as to get
better results. This book is an adaptation of the master's
dissertation, which was a research initiative carried in the field
of biological sequence alignment. The work was about two distinct
approaches to sequence matching - Boolean algebra and Fuzzy logic -
a two-valued logic and a multi-valued logic. Both the methods
determine the similarity between the sequences by direct comparison
method using the operations of Boolean algebra and Fuzzy logic
respectively. Then on the basis of their degree of similarity,
multiple DNA sequences are aligned progressively using dynamic
programming to ensure optimal alignment. The methods are
implemented in MATLAB(r) and tested on various sets of DNA
sequences of different 'influenza A virus' types taken from NCBI
bank. Three different aspects of the discussed approaches have been
assessed using different data sets.
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