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Target-enrichment strategies for next-generation sequencing
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Cites
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“The proof of concept for this approach has been published recently 22 .”
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Self-citationDouble indexing overcomes inaccuracies in multiplex sequencing on the Illumina platform
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Quick, J., Grubaugh, N. D., Pullan, S. T., Claro, I. M., Smith, A. D., Gangavarapu, K., Oliveira, G., Robles-Sikisaka, R., Rogers, T. F., Beutler, N. A., et al. (2017) · Nature Protocols · doi:10.1038/nprot.2017.066 · Cited by 1,190
Next-generation sequencing technologies: An overview
Hu, T., Chitnis, N., Monos, D., & Dinh, A. (2021) · Human Immunology · doi:10.1016/j.humimm.2021.02.012 · Cited by 949
Anchored multiplex PCR for targeted next-generation sequencing
Zheng, Z., Liebers, M., Zhelyazkova, B., Cao, Y., Panditi, D., Lynch, K. D., Chen, J., Robinson, H. E., Shim, H. S., Chmielecki, J., et al. (2014) · Nature Medicine · doi:10.1038/nm.3729 · Cited by 915
Single-cell analysis tools for drug discovery and development
Heath, J. R., Ribas, A., & Mischel, P. S. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.16 · Cited by 473
Next generation sequencing and its applications in forensic genetics
Børsting, C., & Morling, N. (2015) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2015.02.002 · Cited by 460
SNP ascertainment bias in population genetic analyses: Why it is important, and how to correct it
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Next-generation sequencing in the clinic: Promises and challenges
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Targeted next generation sequencing as a diagnostic tool in epileptic disorders
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Deconstructing a Syndrome: Genomic Insights Into PCOS Causal Mechanisms and Classification
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Biological invasions, climate change and genomics
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Long-Range Chromatin Interactions
Dekker, J., & Misteli, T. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a019356 · Cited by 255
Genome-wide interrogation advances resolution of recalcitrant groups in the tree of life
Arcila, D., Ortí, G., Vari, R., Armbruster, J. W., Stiassny, M. L. J., Ko, K. D., Sabaj, M. H., Lundberg, J., Revell, L. J., & Betancur-R., R. (2017) · Nature Ecology & Evolution · doi:10.1038/s41559-016-0020 · Cited by 243
Analysis of High-Throughput Ancient DNA Sequencing Data
Kircher, M. (2012) · Methods in Molecular Biology · doi:10.1007/978-1-61779-516-9_23 · Cited by 236
Impact of next generation sequencing techniques in food microbiology.
Mayo, B., Rachid, C., Alegria, A., Leite, A., Peixoto, R., & Delgado, S. (2014) · Current Genomics · doi:10.2174/1389202915666140616233211 · Cited by 188
Murchie, T. J., Kuch, M., Duggan, A. T., Ledger, M. L., Roche, K., Klunk, J., Karpinski, E., Hackenberger, D., Sadoway, T., MacPhee, R., et al. (2021) · Quaternary Research · doi:10.1017/qua.2020.59 · Cited by 105
Metadata
- Authors
- Mamanova, L., Coffey, A. J., Scott, C. E., Kozarewa, I., Turner, E. H., Kumar, A., Howard, E., Shendure, J., & Turner, D. J.
- Venue
- Nature Methods
- Published
- 2010-01-28
- Volume
- 7
- Issue
- 2
- Pages
- 111-118
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2133980123
- Cited by
- 1,219
- References
- 6
- FWCI
- 36.27
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
