Ontology highlight
ABSTRACT:
SUBMITTER: Griffith M
PROVIDER: S-EPMC4497734 | biostudies-literature | 2015 Jul
REPOSITORIES: biostudies-literature
Griffith Malachi M Griffith Obi L OL Smith Scott M SM Ramu Avinash A Callaway Matthew B MB Brummett Anthony M AM Kiwala Michael J MJ Coffman Adam C AC Regier Allison A AA Oberkfell Ben J BJ Sanderson Gabriel E GE Mooney Thomas P TP Nutter Nathaniel G NG Belter Edward A EA Du Feiyu F Long Robert L RL Abbott Travis E TE Ferguson Ian T IT Morton David L DL Burnett Mark M MM Weible James V JV Peck Joshua B JB Dukes Adam A McMichael Joshua F JF Lolofie Justin T JT Derickson Brian R BR Hundal Jasreet J Skidmore Zachary L ZL Ainscough Benjamin J BJ Dees Nathan D ND Schierding William S WS Kandoth Cyriac C Kim Kyung H KH Lu Charles C Harris Christopher C CC Maher Nicole N Maher Christopher A CA Magrini Vincent J VJ Abbott Benjamin S BS Chen Ken K Clark Eric E Das Indraniel I Fan Xian X Hawkins Amy E AE Hepler Todd G TG Wylie Todd N TN Leonard Shawn M SM Schroeder William E WE Shi Xiaoqi X Carmichael Lynn K LK Weil Matthew R MR Wohlstadter Richard W RW Stiehr Gary G McLellan Michael D MD Pohl Craig S CS Miller Christopher A CA Koboldt Daniel C DC Walker Jason R JR Eldred James M JM Larson David E DE Dooling David J DJ Ding Li L Mardis Elaine R ER Wilson Richard K RK
PLoS computational biology 20150709 7
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 with reliable and repeatable analysis pipelines. The GMS also serves as a platform for bioinformatics development, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within i ...[more]