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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
Properties
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Resource Description
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"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."
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Used by
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Kim Laboratory: Computational Evolutionary Biology
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Data Input
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Noncoding DNA sequence
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Data Output
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Clusters of homologous noncoding sequences
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Software purpose
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Clustering analysis objective
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Website(s)
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http://kim.bio.upenn.edu/software/phns.shtml
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Related Technique
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Bioinformatics analysis
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Software license
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Academic software license
