Genome Modeling System: A Knowledge Management Platform for Genomics.

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