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Predicting trait regulators by identifying co-localization of DNA binding and GWAS variants in regulatory regions
View ORCID ProfileGerald Quon, Soheil Feizi, Daniel Marbach, Melina Claussnitzer, Manolis Kellis
doi: https://doi.org/10.1101/467852
Gerald Quon
1Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
2Broad Institute of MIT and Harvard, MIT, Cambridge, MA, USA
5Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA, USA
Soheil Feizi
1Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
2Broad Institute of MIT and Harvard, MIT, Cambridge, MA, USA
Daniel Marbach
1Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
2Broad Institute of MIT and Harvard, MIT, Cambridge, MA, USA
Melina Claussnitzer
1Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
2Broad Institute of MIT and Harvard, MIT, Cambridge, MA, USA
3Gerontology Division, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA 02215 USA
4Nutritional Medicine, Technical University Munich, Gregor-Mendel-Str. 2. 85350 Freising-Weihenstephan, Germany
Manolis Kellis
1Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA
2Broad Institute of MIT and Harvard, MIT, Cambridge, MA, USA
Article usage
Posted November 11, 2018.
Predicting trait regulators by identifying co-localization of DNA binding and GWAS variants in regulatory regions
Gerald Quon, Soheil Feizi, Daniel Marbach, Melina Claussnitzer, Manolis Kellis
bioRxiv 467852; doi: https://doi.org/10.1101/467852
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