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Clustering conserved noncoding elements in prokaryotes algorithm

eagle-i ID


Resource Type

  1. Algorithmic software suite


  1. Resource Description
    "We adopted a two-step algorithm to cluster conserved noncoding elements in prokaryotes. First, we identified all homologous noncoding pairs by using all-against-all BLAST search; second, we used single-linkage clustering algorithm to group homlogous single positions together, which is followed by reordering and reassembly."
  2. Used by
    Kim Laboratory: Computational Evolutionary Biology
  3. Data Input
    Noncoding DNA sequence
  4. Data Output
    Clusters of homologous noncoding sequences
  5. Software purpose
    Clustering analysis objective
  6. Website(s)
  7. Related Technique
    Bioinformatics analysis
  8. Software license
    Academic software license
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Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016