The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Recognition of protein coding regions in DNA sequences
Open accessAbstract
We give a test for protein coding regions which is based on simple and universal differences between protein-coding and noncoding DNA. The test is simple enough to use without a computer and is completely objective. The test has been thoroughly proven on 400,000 bases of sequence data: it misclassifies 5% of the regions tested and gives an answer of "No Opinion" one fifth of the time. We predict some new coding and noncoding regions in published sequences.
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Eigen, M., & Winkler-Oswatitsch, R. (1981) · Naturwissenschaften · doi:10.1007/bf01047470 · Cited by 242
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Iyer, M. K., Niknafs, Y. S., Malik, R., Singhal, U., Sahu, A., Hosono, Y., Barrette, T. R., Prensner, J. R., Evans, J. R., Zhao, S., et al. (2015) · Nature Genetics · doi:10.1038/ng.3192 · Cited by 2,738
Besemer, J. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.12.2607 · Cited by 2,351
CPC2: a fast and accurate coding potential calculator based on sequence intrinsic features
Kang, Y.-J., Yang, D.-C., Kong, L., Hou, M., Meng, Y.-Q., Wei, L., & Gao, G. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx428 · Cited by 1,637
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Lowenstein, E. J., Daly, R. J., Batzer, A. G., Li, W., Margolis, B., Lammers, R., Ullrich, A., Skolnik, E. Y., Bar-Sagi, D., & Schlessinger, J. (1992) · Cell · doi:10.1016/0092-8674(92)90167-b · Cited by 1,631
Metadata
- Authors
- Fickett, J. W.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1982
- Volume
- 10
- Issue
- 17
- Pages
- 5303-5318
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2052503008
- Cited by
- 904
- References
- 1
- FWCI
- 7.04
- Type
- journal article
- Language
- en
- Open access
- green
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- Fickett, J. W. (1982). Recognition of protein coding regions in DNA sequences. Nucleic Acids Research. https://doi.org/10.1093/nar/10.17.5303
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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.
