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HadoopCNV: A dynamic programming imputation algorithm to detect copy number variants from sequencing data
Hui Yang, Gary Chen, Leandro Lima, Han Fang, Laura Jimenez, Mingyao Li, Gholson J Lyon, Max He, Kai Wang
doi: https://doi.org/10.1101/124339
Hui Yang
1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
2Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90007, USA
Gary Chen
3Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
Leandro Lima
1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
Han Fang
4Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, New York, NY 11797, USA, USA
5Department of Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA, 11794
Laura Jimenez
4Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, New York, NY 11797, USA, USA
Mingyao Li
6Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA
Gholson J Lyon
4Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, New York, NY 11797, USA, USA
7Utah Foundation for Biomedical Research, 150 S 100 W, Provo, UT, 84601, USA
Max He
8Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI 54449, USA
Kai Wang
1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
7Utah Foundation for Biomedical Research, 150 S 100 W, Provo, UT, 84601, USA
9Institute for Genomic Medicine, Columbia University Medical Center, New York, NY 10032, USA
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Posted April 05, 2017.
HadoopCNV: A dynamic programming imputation algorithm to detect copy number variants from sequencing data
Hui Yang, Gary Chen, Leandro Lima, Han Fang, Laura Jimenez, Mingyao Li, Gholson J Lyon, Max He, Kai Wang
bioRxiv 124339; doi: https://doi.org/10.1101/124339
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