
AbstractHomology and distance measures have been routinely used to compare two biological sequences, such as proteins or nucleic acids. The homology measure of Needleman and Wunsch is shown, under general conditions, to be equivalent to the distance measure of Sellers. A new algorithm is given to find similar pairs of segments, one segment from each sequence. The new algorithm, based on homology measures, is compared to an earlier one due to Sellers.
comparison of biosequences, Applied Mathematics, homology measure of Needleman and Wunsch, Physiological, cellular and medical topics, new algorithm, distance measure of Sellers, General biology and biomathematics
comparison of biosequences, Applied Mathematics, homology measure of Needleman and Wunsch, Physiological, cellular and medical topics, new algorithm, distance measure of Sellers, General biology and biomathematics
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