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STAAR Workflow: A cloud-based workflow for scalable and reproducible rare variant analysis
Sheila M. Gaynor, Kenneth E. Westerman, Lea L. Ackovic, Xihao Li, Zilin Li, Alisa K. Manning, Anthony Philippakis, Xihong Lin
doi: https://doi.org/10.1101/2021.09.07.456116
Sheila M. Gaynor
1Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, 02115, USA
Kenneth E. Westerman
2The Broad Institute of MIT and Harvard, Cambridge, MA, 02124, USA
3Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, 02114, USA
4Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
Lea L. Ackovic
5Seven Bridges, Charlestown, MA 02129, USA
Xihao Li
1Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, 02115, USA
Zilin Li
1Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, 02115, USA
Alisa K. Manning
2The Broad Institute of MIT and Harvard, Cambridge, MA, 02124, USA
3Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, 02114, USA
4Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
Anthony Philippakis
2The Broad Institute of MIT and Harvard, Cambridge, MA, 02124, USA
Xihong Lin
1Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, 02115, USA
6Department of Statistics, Harvard University, Cambridge, 02138, USA
Posted September 08, 2021.
STAAR Workflow: A cloud-based workflow for scalable and reproducible rare variant analysis
Sheila M. Gaynor, Kenneth E. Westerman, Lea L. Ackovic, Xihao Li, Zilin Li, Alisa K. Manning, Anthony Philippakis, Xihong Lin
bioRxiv 2021.09.07.456116; doi: https://doi.org/10.1101/2021.09.07.456116
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