Optimization of the 454 Production Sequencing Workflow at the DOE Joint Genome Institute
Skip to main content
eScholarship
Open Access Publications from the University of California

Optimization of the 454 Production Sequencing Workflow at the DOE Joint Genome Institute

Abstract

Optimization of the 454 Production Sequencing Workflow at the DOE Joint Genome Institute Christopher Daum, Matthew Hamilton, Nicole Shapiro, David Robinson, Christopher Hack, Megan Kennedy, Marty Pollard, Simon Roberts, David Humphries, Jan-Fang Cheng, Susan Lucas, and the JGI Sequencing Team The U.S. Department of Energy (DOE) Joint Genome Institutes (JGI) Production Sequencing group is committed to the generation of high-quality genomic DNA sequence to support the mission areas of renewable energy generation, global carbon management, and environmental characterization and clean-up. Within the Production Sequencing group a robust Roche GS-FLX sequencer pipeline has been established. Optimization of the pipeline has been ongoing with the aim of continual process improvement of the laboratory workflow. These process improvement projects are being lead by the JGIs Process Optimization, Sequencing Technologies, Instrumentation & Engineering, and the core 454 Production groups. Primary focus has been on improving the procedural ergonomics and the technicians operating environment, reducing manually intensive technician operations with tools and robotic automation, reducing associated production costs, and improving the overall process and generated sequence quality. This work was performed under the auspices of the US Department of Energy's Office of Science, Biological and Environmental Research Program, and by the University of California, Lawrence Berkeley National Laboratory under contract No. DE-AC02-05CH11231, Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344, and Los Alamos National Laboratory under contract No. DE-AC02-06NA25396. LLNL-ABS-406773

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View