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}
}
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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