The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Transforming clinical microbiology with bacterial genome sequencing
Open accessAbstract
Whole-genome sequencing of bacteria has recently emerged as a cost-effective and convenient approach for addressing many microbiological questions. Here, we review the current status of clinical microbiology and how it has already begun to be transformed by using next-generation sequencing. We focus on three essential tasks: identifying the species of an isolate, testing its properties, such as resistance to antibiotics and virulence, and monitoring the emergence and spread of bacterial pathogens. We predict that the application of next-generation sequencing will soon be sufficiently fast, accurate and cheap to be used in routine clinical microbiology practice, where it could replace many complex current techniques with a single, more efficient workflow.
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Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Relaxed Phylogenetics and Dating with Confidence
Drummond, A. J., Ho, S. Y. W., Phillips, M. J., & Rambaut, A. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040088 · Cited by 6,463
progressiveMauve: Multiple Genome Alignment with Gene Gain, Loss and Rearrangement
Darling, A. E., Mau, B., & Perna, N. T. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011147 · Cited by 3,848
The human microbiome: at the interface of health and disease
Cho, I., & Blaser, M. J. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3182 · Cited by 3,449
Rapid Molecular Detection of Tuberculosis and Rifampin Resistance
Boehme, C. C., Nabeta, P., Hillemann, D., Nicol, M. P., Shenai, S., Krapp, F., Allen, J., Tahirli, R., Blakemore, R., Rustomjee, R., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907847 · Cited by 2,309
Seng, P., Drancourt, M., Gouriet, F., La Scola, B., Fournier, P., Rolain, J. M., & Raoult, D. (2009) · Clinical Infectious Diseases · doi:10.1086/600885 · Cited by 1,983
Genotype and SNP calling from next-generation sequencing data
Nielsen, R., Paul, J. S., Albrechtsen, A., & Song, Y. S. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2986 · Cited by 1,396
Ford, C. B., Lin, P. L., Chase, M. R., Shah, R. R., Iartchouk, O., Galagan, J., Mohaideen, N., Ioerger, T. R., Sacchettini, J. C., Lipsitch, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.811 · Cited by 437
Cited by
ARG-ANNOT, a new bioinformatic tool to discover antibiotic resistance genes in bacterial genomes
Gupta, S. K., Padmanabhan, B. R., Diene, S. M., Lopez-Rojas, R., Kempf, M., Landraud, L., & Rolain, J.-M. (2014) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01310-13 · Cited by 1,476
Inexpensive Multiplexed Library Preparation for Megabase-Sized Genomes
Baym, M., Kryazhimskiy, S., Lieberman, T. D., Chung, H., Desai, M. M., & Kishony, R. (2015) · PLOS ONE · doi:10.1371/journal.pone.0128036 · Cited by 685
Surveillance of antimicrobial resistance in low- and middle-income countries: a scattered picture
Iskandar, K., Molinier, L., Hallit, S., Sartelli, M., Hardcastle, T. C., Haque, M., Lugova, H., Dhingra, S., Sharma, P., Islam, S., et al. (2021) · Antimicrobial Resistance & Infection Control · doi:10.1186/s13756-021-00931-w · Cited by 479
Goldberg, B., Sichtig, H., Geyer, C., Ledeboer, N., & Weinstock, G. M. (2015) · mBio · doi:10.1128/mbio.01888-15 · Cited by 360
Clostridium difficile infection: epidemiology, diagnosis and understanding transmission
Martin, J. S. H., Monaghan, T. M., & Wilcox, M. H. (2016) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2016.25 · Cited by 319
Metadata
- Authors
- Didelot, X., Bowden, R., Wilson, D. J., Peto, T. E. A., & Crook, D. W.
- Venue
- Nature Reviews Genetics
- Published
- 2012-08-07
- Volume
- 13
- Issue
- 9
- Pages
- 601-612
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2032866129
- Cited by
- 799
- References
- 9
- FWCI
- 6.94
- Type
- journal article
- Language
- en
- Open access
- green
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- Didelot, X., Bowden, R., Wilson, D. J., Peto, T. E. A., & Crook, D. W. (2012). Transforming clinical microbiology with bacterial genome sequencing. Nature Reviews Genetics. https://doi.org/10.1038/nrg3226
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.