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Review
. 2019 Nov 1;9(11):a036798.
doi: 10.1101/cshperspect.a036798.

Next-Generation Sequencing Technologies

Affiliations
Review

Next-Generation Sequencing Technologies

W Richard McCombie et al. Cold Spring Harb Perspect Med. .

Abstract

Although DNA and RNA sequencing has a history spanning five decades, large-scale massively parallel sequencing, or next-generation sequencing (NGS), has only been commercially available for about 10 years. Nonetheless, the meteoric increase in sequencing throughput with NGS has dramatically changed our understanding of our genome and ourselves. Sequencing the first human genome as a haploid reference took nearly 10 years but now a full diploid human genome sequence can be accomplished in just a few days. NGS has also reduced the cost of generating sequence data and a plethora of sequence-based methods for probing a genome have emerged using NGS as the readout and have been applied to many species. NGS methods have also entered the medical realm and will see an increasing use in diagnosis and treatment. NGS has largely been driven by short-read generation (150 bp) but new platforms have emerged and are now capable of generating long multikilobase reads. These latter platforms enable reference-independent genome assemblies and long-range haplotype generation. Rapid DNA and RNA sequencing is now mainstream and will continue to have an increasing impact on biology and medicine.

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References

    1. Barnes WM. 1978. DNA sequencing by partial ribosubstitution. J Mol Biol 119: 83–99. 10.1016/0022-2836(78)90271-1 - DOI - PubMed
    1. Chaisson MJ, Huddleston J, Dennis MY, Sudmant PH, Malig M, Hormozdiari F, Antonacci F, Surti U, Sandstrom R, Boitano M, et al. 2015. Resolving the complexity of the human genome using single-molecule sequencing. Nature 517: 608–611. 10.1038/nature13907 - DOI - PMC - PubMed
    1. Ewing B, Green P. 1998. Base-calling of automated sequencer traces using phred. II: Error probabilities. Genome Res 8: 186–194. 10.1101/gr.8.3.186 - DOI - PubMed
    1. Ewing B, Hiller L, Wendl MC, Green P. 1998. Base-calling of automated sequencer traces using phred. I: Accuracy assessment. Genome Res 8: 175–185. 10.1101/gr.8.3.175 - DOI - PubMed
    1. Gordon D, Abajian C, Green P. 1998. Consed: A graphical tool for sequence finishing. Genome Res 8: 195–202. 10.1101/gr.8.3.195 - DOI - PubMed