Clustering conserved noncoding elements in prokaryotes algorithm

eagle-i ID

Resource Type

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