| Literature DB >> 15060013 |
Diana Kolbe1, James Taylor, Laura Elnitski, Pallavi Eswara, Jia Li, Webb Miller, Ross Hardison, Francesca Chiaromonte.
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.Entities:
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Year: 2004 PMID: 15060013 PMCID: PMC383316 DOI: 10.1101/gr.1976004
Source DB: PubMed Journal: Genome Res ISSN: 1088-9051 Impact factor: 9.043