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Clustering conserved noncoding elements in prokaryotes algorithm

eagle-i ID

http://eagle-i.itmat.upenn.edu/i/0000013d-6041-ca10-5757-7bd780000000

Resource Type

  1. Algorithmic software suite

Properties

  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)
    http://kim.bio.upenn.edu/software/phns.shtml
  7. Related Technique
    Bioinformatics analysis
  8. Software license
    Academic software license
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    fcoldren
  3. created
    2013-03-12T16:22:14.077-04:00
  4. creator
    fcoldren
  5. modified
    2013-03-13T11:25:19.217-04:00

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016