Methodology article
c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
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* Corresponding author: Katerina Kechris katerina.kechris@ucdenver.edu
1 Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, 4200 East Ninth Avenue, B-119, Denver, CO 80262, USA
2 Department of Biochemistry and Biophysics, UCSF, 1700 4th Street, San Francisco, CA 94143, USA
3 Center for Theoretical Biology, Peking University, Beijing 100871, PR China
BMC Bioinformatics 2008, 9:506 doi:10.1186/1471-2105-9-506
Published: 28 November 2008Additional files
Additional file 1:
This file contains 4 supporting tables listed below. Supporting Table 1: Complete set of c-REDUCE results on yeast data. Supporting Table 2: Comparison of c-REDUCE with PhyloGibbs. Supporting Table 3: Comparison of c-REDUCE with Tree Gibbs Sampler. Supporting Table 4: Comparison of c-REDUCE with Converge and PhyloCon.
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