PMID:1621093
| Citation |
Karlin, S and Brendel, V (1992) Chance and statistical significance in protein and DNA sequence analysis. Science 257:39-49 |
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| Abstract |
Statistical approaches help in the determination of significant configurations in protein and nucleic acid sequence data. Three recent statistical methods are discussed: (i) score-based sequence analysis that provides a means for characterizing anomalies in local sequence text and for evaluating sequence comparisons; (ii) quantile distributions of amino acid usage that reveal general compositional biases in proteins and evolutionary relations; and (iii) r-scan statistics that can be applied to the analysis of spacings of sequence markers. |
| Links | |
| Keywords |
Amino Acid Sequence; Animals; Bacillus subtilis/genetics; Base Sequence; DNA/chemistry; DNA/genetics; Drosophila/genetics; Escherichia coli/genetics; Humans; Mathematics; Models, Genetic; Models, Statistical; Proteins/chemistry; Proteins/genetics; Saccharomyces cerevisiae/genetics; Viruses/genetics |
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