c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression

doi:10.1186/1471-2105-9-506

BMC Bioinformatics

Volume 9

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Methodology article

c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression

Katerina Kechris¹ and Hao Li²^,3

¹Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver, 4200 East Ninth Avenue, B-119, Denver, CO 80262, USA

²Department of Biochemistry and Biophysics, UCSF, 1700 4th Street, San Francisco, CA 94143, USA

³Center for Theoretical Biology, Peking University, Beijing 100871, PR China

author email corresponding author email

BMC Bioinformatics 2008, 9:506doi:10.1186/1471-2105-9-506


Published:	28 November 2008

Additional 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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