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Computer methods to locate signals in nucleic acid sequences
Open accessAbstract
This paper describes computer methods for locating signals in nucleic acid sequences. The signals include ribosome binding sites, promoter sequences and splice junctions. The methods are of use both to those trying to interpret the function of newly determined sequences and to those studying the molecular mechanisms involved in the recognition of these special signal sequences.
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Cited by
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
Profile analysis: detection of distantly related proteins.
Gribskov, M., McLachlan, A. D., & Eisenberg, D. (1987) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.84.13.4355 · Cited by 1,325
Gene identification in novel eukaryotic genomes by self-training algorithm
Lomsadze, A. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki937 · Cited by 975
Reelin gene alleles and haplotypes as a factor predisposing to autistic disorder
Persico, A. M., D'Agruma, L., Maiorano, N., Totaro, A., Militerni, R., Bravaccio, C., Wassink, T. H., Schneider, C., Melmed, R., Trillo, S., et al. (2001) · Molecular Psychiatry · doi:10.1038/sj.mp.4000850 · Cited by 337
Protein-DNA binding: complexities and multi-protein codes
Siggers, T., & Gordân, R. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1112 · Cited by 229
Metadata
- Authors
- Staden, R.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1984
- Volume
- 12
- Issue
- 1Part2
- Pages
- 505-519
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2035564383
- Cited by
- 664
- References
- 0
- FWCI
- 9.18
- Type
- journal article
- Language
- en
- Open access
- green
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- Staden, R. (1984). Computer methods to locate signals in nucleic acid sequences. Nucleic Acids Research. https://doi.org/10.1093/nar/12.1part2.505
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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.