The algorithm uses suffix tree for identifying common substrings and uses a modified Needleman-Wunsch algorithm for pairwise alignments. In order to improve the efficiency of pairwise alignments, an unsupervised learning based on clustering technique is used to create a knowledge base to guide them.

Features

  • Multiple sequence alignment
  • Suffix trees
  • Unsupervised Learning
  • Needleman–Wunsch algorithm
  • DNA/RNA sequences, MapReduce

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Registered

2018-05-30
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