Significance levels for biological sequence comparison using non-linear similarity functions

DOI10.1007/BF02459979zbMath0637.92006OpenAlexW4244437633WikidataQ68361243 ScholiaQ68361243MaRDI QIDQ1099106

Bruce W. Erickson, Stephen F. Altschul

Publication date: 1988

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02459979

zbMATH Keywords

extreme value distributionsignificance levelsbiochemistrynonlinear similarity functionsamino acid substitution costsbovine proenkephalincomparing subalignments of biological sequencesnucleotide frequency distributionsporcine prodynorphin

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics (62P99) Other natural sciences (mathematical treatment) (92F05) Physiological, cellular and medical topics (92Cxx)

Related Items (3)

Set-spectrum method in structure comparison and the concept of topological kinship ⋮ Distribution of the number of matches between nucleotide sequences ⋮ An accurate approximation to the distribution of the length of the longest matching word between two random DNA sequences

Cites Work

• Unnamed Item
• Critical phenomena in sequence matching
• Pattern recognition in genetic sequences by mismatch density
• An extreme value theory for long head runs
• An extreme value theory for sequence matching
• A nonlinear measure of subalignment similarity and its significance levels
• Optimized homology searches of the gene and protein sequence data banks
• Locally optimal subalignments using nonlinear similarity functions
• An Overview of Sequence Comparison: Time Warps, String Edits, and Macromolecules

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