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PCR-SSCP: a simple and sensitive method for detection of mutations in the genomic DNA.
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Cited by
The evolution of molecular markers — just a matter of fashion?
Schlötterer, C. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1249 · Cited by 891
Single-strand conformation polymorphism (SSCP) for the analysis of genetic variation
Gasser, R. B., Hu, M., Chilton, N. B., Campbell, B. E., Jex, A. J., Otranto, D., Cafarchia, C., Beveridge, I., & Zhu, X. (2006) · Nature Protocols · doi:10.1038/nprot.2006.485 · Cited by 270
Mutations in the fibrillin gene responsible for dominant ectopia lentis and neonatal Marfan syndrome
Kainulainen, K., Karttunen, L., Puhakka, L., Sakai, L., & Peltonen, L. (1994) · Nature Genetics · doi:10.1038/ng0194-64 · Cited by 260
Molecular tools—advances, opportunities and prospects
Gasser, R. B. (2006) · Veterinary Parasitology · doi:10.1016/j.vetpar.2005.12.002 · Cited by 255
Overview of Marker-assisted Selection in Animal Breeding
Sharma, P., Doultani, S., Hadiya, K. K., George, L., & Highland, H. (2024) · Journal of Advances in Biology & Biotechnology · doi:10.9734/jabb/2024/v27i5790 · Cited by 39
Metadata
- Authors
- Hayashi, K.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 1991-08
- Volume
- 1
- Issue
- 1
- Pages
- 34-38
- ISSN
- 1088-9051 (ISSN-L)
- OpenAlex
- W1971199253
- Cited by
- 756
- References
- 0
- Type
- posted content
- Language
- en
- Open access
- bronze
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: PCR-SSCP: a simple and sensitive method for detection of mutations in the genomic DNA. https://app.cochat.ai/papers/10.1101/gr.1.1.34
- The paper
- Hayashi, K. (1991). PCR-SSCP: a simple and sensitive method for detection of mutations in the genomic DNA. Genome Research. https://doi.org/10.1101/gr.1.1.34
Data sources
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.
