The DOI matches its Crossref record.
Sequence logos: a new way to display consensus sequences
Open accessAbstract
A graphical method is presented for displaying the patterns in a set of aligned sequences. The characters representing the sequence are stacked on top of each other for each position in the aligned sequences. The height of each letter is made proportional to its frequency, and the letters are sorted so the most common one is on top. The height of the entire stack is then adjusted to signify the information content of the sequences at that position. From these 'sequence logos', one can determine not only the consensus sequence but also the relative frequency of bases and the information content (measured in bits) at every position in a site or sequence. The logo displays both significant residues and subtle sequence patterns.
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Citations
Cited by
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Transcriptional control of human p53-regulated genes
Riley, T., Sontag, E., Chen, P., & Levine, A. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2395 · Cited by 1,921
A Bayesian Mixture Model for Across-Site Heterogeneities in the Amino-Acid Replacement Process
Lartillot, N., & Philippe, H. (2004) · Molecular Biology and Evolution · doi:10.1093/molbev/msh112 · Cited by 1,516
Genome-wide analysis of mammalian promoter architecture and evolution
Carninci, P., Sandelin, A., Lenhard, B., Katayama, S., Shimokawa, K., Ponjavic, J., Semple, C. A. M., Taylor, M. S., Engström, P. G., Frith, M. C., et al. (2006) · Nature Genetics · doi:10.1038/ng1789 · Cited by 1,350
Metadata
- Authors
- Schneider, T. D., & Stephens, R. M.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1990
- Volume
- 18
- Issue
- 20
- Pages
- 6097-6100
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2041877620
- Cited by
- 3,378
- References
- 0
- FWCI
- 1.08
- Type
- journal article
- Language
- en
- Open access
- green
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- Schneider, T. D., & Stephens, R. M. (1990). Sequence logos: a new way to display consensus sequences. Nucleic Acids Research. https://doi.org/10.1093/nar/18.20.6097
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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.
