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Genome-wide comparative analysis reveals human-mouse regulatory landscape and evolution

Olgert Denas, View ORCID ProfileRichard Sandstrom, View ORCID ProfileYong Cheng, View ORCID ProfileKathryn Beal, View ORCID ProfileJavier Herrero, View ORCID ProfileRoss C. Hardison, View ORCID ProfileJames Taylor
doi: https://doi.org/10.1101/010926
Olgert Denas
1Department of Mathematics and Computer Science, Emory University, Atlanta, GA 30322;
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Richard Sandstrom
4Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA;
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Yong Cheng
3Department of Genetics, Stanford University, Stanford, CA 94305, USA;
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Kathryn Beal
7European Bioinformatics Institute (EMBL-EBI)
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Javier Herrero
5The Genome Analysis Centre, Norwich Research Park, Norwich, UK;
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Ross C. Hardison
6Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA 16802, USA;
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James Taylor
1Department of Mathematics and Computer Science, Emory University, Atlanta, GA 30322;
2Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA;
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Posted October 30, 2014.
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Genome-wide comparative analysis reveals human-mouse regulatory landscape and evolution
Olgert Denas, Richard Sandstrom, Yong Cheng, Kathryn Beal, Javier Herrero, Ross C. Hardison, James Taylor
bioRxiv 010926; doi: https://doi.org/10.1101/010926
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Genome-wide comparative analysis reveals human-mouse regulatory landscape and evolution
Olgert Denas, Richard Sandstrom, Yong Cheng, Kathryn Beal, Javier Herrero, Ross C. Hardison, James Taylor
bioRxiv 010926; doi: https://doi.org/10.1101/010926

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