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  • 1
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    Chance and statistical significance in protein and DNA sequence analysis (1992)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1992-07-03
    Description: 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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Karlin, S -- Brendel, V -- GM10452-29/GM/NIGMS NIH HHS/ -- HG00335-04/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 1992 Jul 3;257(5066):39-49.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Mathematics, Stanford University, CA 94305.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/1621093" target="_blank"〉PubMed〈/a〉
    Keywords: *Amino Acid Sequence ; Animals ; Bacillus subtilis/genetics ; *Base Sequence ; DNA/chemistry/*genetics ; Drosophila/genetics ; Escherichia coli/genetics ; Humans ; Mathematics ; *Models, Genetic ; *Models, Statistical ; Proteins/chemistry/*genetics ; Saccharomyces cerevisiae/genetics ; Viruses/genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Patchiness and correlations in DNA sequences (1993)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1993-01-29
    Description: The highly nonrandom character of genomic DNA can confound attempts at modeling DNA sequence variation by standard stochastic processes (including random walk or fractal models). In particular, the mosaic character of DNA consisting of patches of different composition can fully account for apparent long-range correlations in DNA.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Karlin, S -- Brendel, V -- GM10452-29/GM/NIGMS NIH HHS/ -- HG00335-04/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 1993 Jan 29;259(5095):677-80.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Mathematics, Stanford University, CA 94305.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/8430316" target="_blank"〉PubMed〈/a〉
    Keywords: Analysis of Variance ; Bacteriophage lambda/genetics ; Base Composition ; *Base Sequence ; DNA/*genetics ; Globins/genetics ; Humans ; Mathematics ; Models, Theoretical ; Plants, Toxic ; Stochastic Processes ; Tobacco/genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
    Location Call Number Expected Availability
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    PAPER CURRENT
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