Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Justin T. Lolofie"'
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:
Ken Chen, Adam F. Dukes, Chris Harris, Mark D. Mason, Elizabeth L. Appelbaum, Jennifer Ivanovich, Justin T. Lolofie, Michael D. McLellan, Lei Chen, Benjamin J. Oberkfell, Lisa Cook, Jeremy Hoog, Devin P. Locke, Shunqiang Li, Jennifer S. Hodges, Scott M. Smith, Feiyu Du, Dong-Wei Shen, Amy Hawkins, Gabriel E. Sanderson, Rachel Abbott, Lucinda Fulton, John W. Wallis, Mark A. Watson, Sherri R. Davies, George M. Weinstock, Michelle D O'Laughlin, Richard K. Wilson, Joelle Kalicki, Jacqueline E. Snider, Joshua F. McMichael, Charles M. Perou, Heather K. Schmidt, Nathan D. Dees, Tammi L. Vickery, Jerry S. Reed, Glendoria Elliott, Robert S. Fulton, William Schierding, Li-li Lin, Robert J. Crowder, Timothy J. Ley, James M. Eldred, Josh B. Peck, Craig Pohl, Dominic M. Thompson, David J. Dooling, Paul J. Goodfellow, Michael C. Wendl, Vincent Magrini, Therese Guintoli, Katherine DeSchryver, Li Ding, Kelly E. Bernard, Kim D. Delehaunty, David E. Larson, Qunyuan Zhang, Kimberley A. Pape, Mark L. Cunningham, Matthew J. Ellis, Madeline E. Wiechert, Sean McGrath, Rebecca Aft, Ling Lin, Elaine R. Mardis, Jody S. Robinson, Catrina Fronick, Yu Long Tao, Daniel C. Koboldt
Publikováno v:
Nature
Massively parallel DNA sequencing technologies provide an unprecedented ability to screen entire genomes for genetic changes associated with tumor progression. Here we describe the genomic analyses of four DNA samples from an African-American patient
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