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dc.contributor.authorHerzel, Hanspeter
dc.contributor.authorEbeling, Werner
dc.contributor.authorGrosse, Ivo
dc.contributor.authorSchmitt, Armin O.
dc.date.accessioned2024-05-29T09:00:27Z
dc.date.available2024-05-29T09:00:27Z
dc.date.issued1995
dc.date.submitted2024-05-29
dc.identifier.citationBioinformatics - from nucleic acids and proteins to cell metabolism, 29 - 45en_US
dc.identifier.isbn3527300724
dc.identifier.issn0930-4320
dc.identifier.urihttp://hdl.handle.net/10033/623848
dc.description.abstractWereport recent results of statistical analysis of DNA sequencesin this paper. First, we show howrepetitive segments reduce the information content measured by Shannon entropies. Then, the effect of a nonuniform codon usage on the mutual information function is studied analytically. For this purpose, the concept of pseudo-exons is introduced. Finally, we discuss the modularity of DNA which can serve as a sensitive tool to distinguish DNA sequences from randomstrings.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 Analysis of DNA Sequencesen_US
dc.typeBook chapteren_US
dc.typeconference paperen_US
dc.contributor.departmentInstitute of Theoretical Physics, Technical University, Hardenbergstr. 36, D-10623 Berlin, Germany; Institute of Physics, Humboldt-University, Invalidenstr. 110, D-10115 Berlin, Germany; Department of Structural Biology, Weizmann Institute of Science, Rehovot 76100, Israelen_US
dc.identifier.journalBioinformatics - from nucleic acids and proteins to cell metabolism, 1995en_US
refterms.dateFOA2024-05-29T09:00:29Z


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