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The TYCHO system for computer analysis of two-dimensional gel electrophoresis patterns.
Abstract
We describe here a computer system for the analysis of high-resolution two-dimensional gel-electrophoresis patterns, with some initial applications. The system (called TYCHO) comprises programs for image acquisition, background subtraction and smoothing, spot detection, gaussian spot modeling, and pattern matching and comparison. It is based on a conventional minicomputer, but makes extensive use of a high-speed array processor in the image-processing and -modeling steps. Used in concert with the ISO-DALT two-dimensional electrophoresis system (Anal. Biochem. 85:331-354, 1978), TYCHO allows quantitative measurement of hundreds of proteins in complex biological samples, and constitutes the initial data-reduction system required for work towards a Human Protein Index.
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Citations
Cited by
Two-dimensional gel electrophoresis in proteomics: A tutorial
Rabilloud, T., & Lelong, C. (2011) · Journal of Proteomics · doi:10.1016/j.jprot.2011.05.040 · Cited by 258
Secondary proteolysis of cheese during ripening: A review
Rank, T. C., Grappin, R., & Olson, N. F. (1985) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(85)80895-x · Cited by 129
Metadata
- Authors
- Anderson, N. L., Taylor, J., Scandora, A. E., Coulter, B. P., & Anderson, N. G.
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 1981-11-01
- Volume
- 27
- Issue
- 11
- Pages
- 1807-1820
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W2030462329
- Cited by
- 207
- References
- 0
- FWCI
- 8.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The TYCHO system for computer analysis of two-dimensional gel electrophoresis patterns. https://app.cochat.ai/papers/10.1093/clinchem/27.11.1807
- The paper
- Anderson, N. L., Taylor, J., Scandora, A. E., Coulter, B. P., & Anderson, N. G. (1981). The TYCHO system for computer analysis of two-dimensional gel electrophoresis patterns. Clinical Chemistry. https://doi.org/10.1093/clinchem/27.11.1807
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
