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# Classifying Molecular Sequences Using a Linkage Graph With Their Pairwise Similarities

@article{Matsuda1999ClassifyingMS, title={Classifying Molecular Sequences Using a Linkage Graph With Their Pairwise Similarities}, author={Hideo Matsuda and T. Ishihara and Akihiro Hashimoto}, journal={Theor. Comput. Sci.}, year={1999}, volume={210}, pages={305-325} }

- Published 1999 in Theor. Comput. Sci.
DOI:10.1016/S0304-3975(98)00091-7

This paper presents a method for classifying a large and mixed set of uncharacterized sequences provided by genome projects. As the measure of sequence similarity, we use similarity score computed by a method based on the dynamic programming (DP), such as the Smith–Waterman local alignment algorithm. Although comparison by DP based method is very sensitive, when given sequences include a family of sequences that are much diverged in evolutionary process, similarity among some of them may be… CONTINUE READING

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