Statistical Significance of Local Alignments with Gaps
dc.contributor.author | Vingron, Martin | |
dc.contributor.author | Waterman, Michael S. | |
dc.date.accessioned | 2024-05-29T09:14:22Z | |
dc.date.available | 2024-05-29T09:14:22Z | |
dc.date.issued | 1995 | |
dc.date.submitted | 2024-05-29 | |
dc.identifier.citation | Bioinformatics - from nucleic acids and proteins to cell metabolism, 75 - 84 | en_US |
dc.identifier.isbn | 3527300724 | |
dc.identifier.issn | 0930-4320 | |
dc.identifier.uri | http://hdl.handle.net/10033/623851 | |
dc.description.abstract | Recent results on the statistical significance of local alignment with gaps are presented. Parameters necessary for computation of the probability that an alignment achieves a certain score can be approximated by a computationally fast simulation. We present applications to database searching where there-sorting of the output bystatistical significance instead of score leads to improved ability to distinguish sequences homologous to the probe sequence from unrelated sequences. | en_US |
dc.language.iso | en | en_US |
dc.publisher | GBF Gesellschaft für Biotechnologische Forschung mbH, Braunschweig | en_US |
dc.relation.ispartofseries | GBF monographs ; Volume 18 | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.title | Statistical Significance of Local Alignments with Gaps | en_US |
dc.type | Book chapter | en_US |
dc.type | conference paper | en_US |
dc.contributor.department | GMD - German National Research Center for Information Technology Institute for Algorithms and Scientific Computing (SCAI) Schloß Birlinghoven, D-53754 St. Augustin, Germany and Departments of Mathematics and Molecular Biology University of Southern California Los Angeles, California 90089-1113, U.S.A. | en_US |
dc.identifier.journal | Bioinformatics - from nucleic acids and proteins to cell metabolism, 1995 | en_US |
refterms.dateFOA | 2024-05-29T09:14:24Z |
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