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dc.contributor.authorVingron, Martin
dc.contributor.authorWaterman, Michael S.
dc.date.accessioned2024-05-29T09:14:22Z
dc.date.available2024-05-29T09:14:22Z
dc.date.issued1995
dc.date.submitted2024-05-29
dc.identifier.citationBioinformatics - from nucleic acids and proteins to cell metabolism, 75 - 84en_US
dc.identifier.isbn3527300724
dc.identifier.issn0930-4320
dc.identifier.urihttp://hdl.handle.net/10033/623851
dc.description.abstractRecent 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.isoenen_US
dc.publisherGBF Gesellschaft für Biotechnologische Forschung mbH, Braunschweigen_US
dc.relation.ispartofseriesGBF monographs ; Volume 18en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.titleStatistical Significance of Local Alignments with Gapsen_US
dc.typeBook chapteren_US
dc.typeconference paperen_US
dc.contributor.departmentGMD - 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.journalBioinformatics - from nucleic acids and proteins to cell metabolism, 1995en_US
refterms.dateFOA2024-05-29T09:14:24Z


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Attribution-NonCommercial-ShareAlike 4.0 International
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