High-throughput DNA sequencing: a genomic data manufacturing process.
The progress trends in automated DNA sequencing operation are reviewed. Technological development in sequencing instruments, enzymatic chemistry and robotic stations has resulted in ever-increasing capacity of sequence data production. This progress leads to a higher demand on laboratory information management and data quality assessment. High-throughput laboratories face the challenge of organizational management, as well as technology management. Engineering principles of process control should be adopted in this biological data manufacturing procedure. While various systems attempt to provide solutions to automate different parts of, or even the entire process, new technical advances will continue to change the paradigm and provide new challenges.
Huang
G M
GM
Pangea Systems, Inc., Oakland, CA 94612, USA. mhuang@panbio.com
D001331:Automation; D001330:Electronic Data Processing / Q000379:methods*; D020224:Expressed Sequence Tags; D016678:Genome; D016045:Human Genome Project / Q000458:organization & administration; D017422:Sequence Analysis, DNA / Q000191:economics / Q000379:methods* / Q000639:trends*; D012984:Software