| Literature DB >> 16056220 |
Marcel Margulies1, Michael Egholm, William E Altman, Said Attiya, Joel S Bader, Lisa A Bemben, Jan Berka, Michael S Braverman, Yi-Ju Chen, Zhoutao Chen, Scott B Dewell, Lei Du, Joseph M Fierro, Xavier V Gomes, Brian C Godwin, Wen He, Scott Helgesen, Chun Heen Ho, Chun He Ho, Gerard P Irzyk, Szilveszter C Jando, Maria L I Alenquer, Thomas P Jarvie, Kshama B Jirage, Jong-Bum Kim, James R Knight, Janna R Lanza, John H Leamon, Steven M Lefkowitz, Ming Lei, Jing Li, Kenton L Lohman, Hong Lu, Vinod B Makhijani, Keith E McDade, Michael P McKenna, Eugene W Myers, Elizabeth Nickerson, John R Nobile, Ramona Plant, Bernard P Puc, Michael T Ronan, George T Roth, Gary J Sarkis, Jan Fredrik Simons, John W Simpson, Maithreyan Srinivasan, Karrie R Tartaro, Alexander Tomasz, Kari A Vogt, Greg A Volkmer, Shally H Wang, Yong Wang, Michael P Weiner, Pengguang Yu, Richard F Begley, Jonathan M Rothberg.
Abstract
The proliferation of large-scale DNA-sequencing projects in recent years has driven a search for alternative methods to reduce time and cost. Here we describe a scalable, highly parallel sequencing system with raw throughput significantly greater than that of state-of-the-art capillary electrophoresis instruments. The apparatus uses a novel fibre-optic slide of individual wells and is able to sequence 25 million bases, at 99% or better accuracy, in one four-hour run. To achieve an approximately 100-fold increase in throughput over current Sanger sequencing technology, we have developed an emulsion method for DNA amplification and an instrument for sequencing by synthesis using a pyrosequencing protocol optimized for solid support and picolitre-scale volumes. Here we show the utility, throughput, accuracy and robustness of this system by shotgun sequencing and de novo assembly of the Mycoplasma genitalium genome with 96% coverage at 99.96% accuracy in one run of the machine.Entities:
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Year: 2005 PMID: 16056220 PMCID: PMC1464427 DOI: 10.1038/nature03959
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962