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Matthew Hudson

2021

Daniel P. Wickland, Yingxue Ren, Jason P. Sinnwell, Joseph S. Reddy, Cyril Pottier, Vivekananda Sarangi, Minerva M. Carrasquillo, Owen A. Ross, Steven G. Younkin, Nilüfer Ertekin-Taner, Rosa Rademakers, Matthew E. Hudson, Liudmila Sergeevna Mainzer, Joanna M. Biernacka, and Yan W. Asmann (2021): Impact of Variant-Level Batch Effects on Identification of Genetic Risk Factors in Large Sequencing Studies, PLOS ONE, Public Library of Science (PLoS), Vol 16, Num 4, ppe0249305

2020

D. P. Wickland, Y. Ren, J. P. Sinnwell, J. S. Reddy, C. Pottier, V. Sarangi, S. Tian, S. G. Younkin, M. M. Carasquillo, O. A. Ross, S. G. Younkin, N. Ertekin-Taner, R. Rademakers, M. E. Hudson, L. S. Mainzer, J.M. Biernacka, and Y. W. Asman (2020): Impact of variant-level hidden batch effects on identification of genetic risk factors in large sequencing studies, (submitted)

2018

Yingxue Ren, Joseph S. Reddy, Cyril Pottier, Vivekananda Sarangi, Shulan Tian, Jason P. Sinnwell, Shannon K. McDonnell, Joanna M. Biernacka, Minerva M. Carrasquillo, Owen A. Ross, Nilüfer Ertekin-Taner, Rosa Rademakers, Matthew Hudson, Liudmila Sergeevna Mainzer, and Yan W. Asmann (2018): Identification of Missing Variants by Combining Multiple Analytic Pipelines, BMC Bioinformatics, Springer Nature, Vol 19, Num 1, pp139

2017

Jacob Heldenbrand, Yingxue Ren, Yan Asmann, and Liudmila S. Mainzer (2017): Step-by-Step Guide for Downloading Very Large Datasets to a Supercomputer Using the SRA Toolkit V1 (protocols.io.kb6csre), ZappyLab, Inc., Protocols.io

2019

Matthew E. Hudson, Yan W. Asmann, Liudmila Sergeevna Mainzer (2019): Impact of Batch Effect and Study Design Biases on Identification of Genetic Risk Factors in Sequencing Data, 2019 Blue Waters Annual Report, pp266-267

Yingxue Ren: Rescue the missing variants: lessons learned from large sequencing projects


25th Annual Conference Intelligent Systems for Molecular Biology (ISMB) and 16th annual European Conference on Computational Biology (ECCB); Prague, Czech Republic, Jul 25, 2017

Yan Asmann: Genotyping for Very Large Cohorts


Blue Waters Symposium 2017, May 16, 2017

Yingxue Ren: Rescue the missing variants: lessons learned from large sequencing projects


Pacific Symposium on Biocomputing 2017; Big Island of Hawaii, Hawaii, U.S.A., Jan 5, 2017

Blue Waters Illinois allocations awarded to 26 research teams


Mar 7, 2017

Twenty-six research teams at the University of Illinois at Urbana-Champaign have been allocated computation time on the National Center for Supercomputing Application's (NCSA) sustained-petascale Blue Waters supercomputer after applying in Fall 2016. These allocations range from 25,000 to 600,000 node-hours of compute time over a time span of either six months or one year. The research pursuits of these teams are incredibly diverse, ranging anywhere from physics to political science.


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