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Graph-based data integration predicts long-range regulatory interactions across the human genome

Sofie Demeyer, Tom Michoel
doi: https://doi.org/10.1101/004622
Sofie Demeyer
1Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Midlothian EH25 9RG, Scotland, United Kingdom
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Tom Michoel
1Division of Genetics and Genomics, The Roslin Institute, The University of Edinburgh, Midlothian EH25 9RG, Scotland, United Kingdom
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  • For correspondence: tom.michoel@roslin.ed.ac.uk
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Posted April 29, 2014.
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Graph-based data integration predicts long-range regulatory interactions across the human genome
Sofie Demeyer, Tom Michoel
bioRxiv 004622; doi: https://doi.org/10.1101/004622
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Graph-based data integration predicts long-range regulatory interactions across the human genome
Sofie Demeyer, Tom Michoel
bioRxiv 004622; doi: https://doi.org/10.1101/004622

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