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Phenotype-specific information improves prediction of functional impact for noncoding variants
Corneliu A. Bodea, Adele A. Mitchell, Heiko Runz, Shamil R. Sunyaev
doi: https://doi.org/10.1101/083642
Corneliu A. Bodea
1Department of Genetics and Pharmacogenomics, MRL, Boston, Massachusetts, USA.
2Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA.
4The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Adele A. Mitchell
1Department of Genetics and Pharmacogenomics, MRL, Boston, Massachusetts, USA.
Heiko Runz
1Department of Genetics and Pharmacogenomics, MRL, Boston, Massachusetts, USA.
Shamil R. Sunyaev
2Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA.
3Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
4The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Article usage
Posted November 07, 2016.
Phenotype-specific information improves prediction of functional impact for noncoding variants
Corneliu A. Bodea, Adele A. Mitchell, Heiko Runz, Shamil R. Sunyaev
bioRxiv 083642; doi: https://doi.org/10.1101/083642
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