Hyperbolic regression analysis for kinetics, electrophoresis, ELISA, RIA, Bradford, Lowry, and other applications

Hyperbolic regression analysis is an effective method for fitting experimental data points obtained from a variety of experiments in molecular biology, including enzyme kinetics, agarose gel electrophoresis of DNA fragments, SDS—polyacrylamide gel electrophoresis of proteins, enzyme-linked immunosor...

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Bibliographic Details
Published in:Bioinformatics 1987-03, Vol.3 (1), p.9-16
Main Author: Studnicka, G M
Format: Article
Language:English
Subjects:
Algorithms
Chemistry - methods
DNA Restriction Enzymes
Electrophoresis, Agar Gel
Enzyme-Linked Immunosorbent Assay
Kinetics
Mathematical Computing
Radioimmunoassay
Regression Analysis
Software
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Summary:Hyperbolic regression analysis is an effective method for fitting experimental data points obtained from a variety of experiments in molecular biology, including enzyme kinetics, agarose gel electrophoresis of DNA fragments, SDS—polyacrylamide gel electrophoresis of proteins, enzyme-linked immunosorbent assays (ELISA), radioimmunoassays (RIA), Bradford protein quantitation assays, Lowry protein assays, and other applications. Hyperbolic regression yields excellent fitted curves without the biases that are introduced by carrying out linear regression on double reciprocal coordinates, and it produces one simple equation, encompassing all the data points, that can be used easily in a pocket calculator to estimate the values of unknown samples from the known standards.
ISSN:1367-4803
0266-7061
1460-2059
DOI:10.1093/bioinformatics/3.1.9