Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Todd G. Hepler"'
Autor:
Malachi Griffith, Obi L Griffith, Scott M Smith, Avinash Ramu, Matthew B Callaway, Anthony M Brummett, Michael J Kiwala, Adam C Coffman, Allison A Regier, Ben J Oberkfell, Gabriel E Sanderson, Thomas P Mooney, Nathaniel G Nutter, Edward A Belter, Feiyu Du, Robert L Long, Travis E Abbott, Ian T Ferguson, David L Morton, Mark M Burnett, James V Weible, Joshua B Peck, Adam Dukes, Joshua F McMichael, Justin T Lolofie, Brian R Derickson, Jasreet Hundal, Zachary L Skidmore, Benjamin J Ainscough, Nathan D Dees, William S Schierding, Cyriac Kandoth, Kyung H Kim, Charles Lu, Christopher C Harris, Nicole Maher, Christopher A Maher, Vincent J Magrini, Benjamin S Abbott, Ken Chen, Eric Clark, Indraniel Das, Xian Fan, Amy E Hawkins, Todd G Hepler, Todd N Wylie, Shawn M Leonard, William E Schroeder, Xiaoqi Shi, Lynn K Carmichael, Matthew R Weil, Richard W Wohlstadter, Gary Stiehr, Michael D McLellan, Craig S Pohl, Christopher A Miller, Daniel C Koboldt, Jason R Walker, James M Eldred, David E Larson, David J Dooling, Li Ding, Elaine R Mardis, Richard K Wilson
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 7, p e1004274 (2015)
In this work, we present the Genome Modeling System (GMS), an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled
Externí odkaz:
https://doaj.org/article/8bd43ecac4d44f7cbb8d1a284c28cdab
Autor:
Gabriel E. Sanderson, William E. Schroeder, Chris Harris, Gary Stiehr, Lynn K. Carmichael, Benjamin J. Ainscough, Shawn Leonard, Charles Lu, Ian T. Ferguson, James M. Eldred, Nathaniel G. Nutter, Amy Hawkins, Eric M. Clark, Allison A. Regier, Thomas P. Mooney, Todd Wylie, Elaine R. Mardis, Michael D. McLellan, Michael J. Kiwala, Malachi Griffith, Ken Chen, Joshua F. McMichael, Kyung H. Kim, Travis E. Abbott, Robert T. L. Long, Benjamin S. Abbott, Edward A. Belter, Indraniel Das, Richard W. Wohlstadter, Adam F. Dukes, Matthew B. Callaway, Feiyu Du, Vincent Magrini, Jason Walker, Benjamin J. Oberkfell, Nicole Maher, Zachary L. Skidmore, Cyriac Kandoth, Scott M. Smith, Christopher A. Miller, Jasreet Hundal, Xian Fan, David L. Morton, Todd G. Hepler, Brian R. Derickson, Christopher G. Maher, David J. Dooling, Craig Pohl, David E. Larson, James V. Weible, Xiaoqi Shi, Joshua Peck, Matthew R. Weil, Justin T. Lolofie, Adam C. Coffman, Nathan D. Dees, Li Ding, Anthony M. Brummett, Mark M. Burnett, William Schierding, Avinash Ramu, Richard K. Wilson, Obi L. Griffith, Daniel C. Koboldt
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 7, p e1004274 (2015)
PLoS Computational Biology
PLoS Computational Biology
In this work, we present the Genome Modeling System (GMS), an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled
Autor:
LaDeana W. Hillier, David J. Dooling, Mike Nhan, Shin Leong, Kevin Crouse, Lynn K. Carmichael, Michael C. Wendl, Todd G. Hepler, Benjamin J. Oberkfell, Craig Pohl, Scott M. Smith, Elaine R. Mardis, Asif T. Chinwalla, Richard K. Wilson
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 8, Iss 1, p 362 (2007)
BMC Bioinformatics, Vol 8, Iss 1, p 362 (2007)
Background Investigators in the biological sciences continue to exploit laboratory automation methods and have dramatically increased the rates at which they can generate data. In many environments, the methods themselves also evolve in a rapid and f