Regulatory Potential Scores From Genome-Wide Three-Way Alignments of Human, Mouse, and Rat
- Diana Kolbe1,3,6,
- James Taylor3,6,
- Laura Elnitski3,6,
- Pallavi Eswara3,6,
- Jia Li4,
- Webb Miller2,3,6,
- Ross Hardison1,6, and
- Francesca Chiaromonte4,5,6,7
- 1 Departments of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- 2 Department of Biology, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- 3 Departments of Computer Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- 4 Department of Statistics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- 5 Department of Health Evaluation Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
- 6 Department of Center for Comparative Genomics and Bioinformatics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
Abstract
We generalize the computation of the Regulatory Potential (RP) score from two-way alignments of human and mouse to three-way alignments of human, mouse, and rat. This requires overcoming technical challenges that arise because the complexity of the models underlying the score increases exponentially with the number of species. Despite the close evolutionary proximity of rat to mouse, we find that adding the rat sequence increases our ability to predict genomic sites that regulate gene transcription. A variant of the RP scoring scheme that accounts for local variation in neutral mutational patterns further improves our predictions.
Footnotes
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Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.1976004.
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↵7 Corresponding author. E-MAIL chiaro{at}stat.psu.edu; FAX (814) 863-7114.
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- Accepted December 28, 2003.
- Received September 14, 2003.
- Cold Spring Harbor Laboratory Press
