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dc.contributor.authorYAMAGISHI, M. E. B.pt_BR
dc.contributor.authorSHIMABUKURO, A. I.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created2007-12-10pt_BR
dc.date.issued2008pt_BR
dc.identifier.citationBulletin of Mathematical Biology, v. 70, n. 3, p. 643-653, Apr. 2008.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1091pt_BR
dc.descriptionAbstract. This work presents a mathematical model that establishes an interesting connection between nucleotide frequencies in human single-stranded DNA and the famous Fibonacci's numbers. The model relies on two assumptions. First, Chargaff's second parity rule should be valid, and second, the nucleotide frequencies should approach limit values when the number of bases is sufficiently large. Under these two hypotheses, it is possible to predict the human nucleotide frequencies with accuracy. This result may be used as evidence to the Fibonacci string model that was proposed to the sequence growth of DNA repetitive sequences. It is noteworthy that the predicted values are solutions of an optimization problem, which is commonplace in many of nature's phenomena.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectGenoma humanopt_BR
dc.subjectNúmeros de Fibonaccipt_BR
dc.subjectNucleotide frequenciespt_BR
dc.subjectChargaff's parity rulespt_BR
dc.subjectFibonacci numberspt_BR
dc.subjectOptimization problempt_BR
dc.titleNucleotide frequencies in human genome and Fibonacci numbers.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-05-11T11:11:11Zpt_BR
dc.subject.thesagroModelo matemáticopt_BR
dc.subject.nalthesaurusMathematical modelspt_BR
dc.subject.nalthesaurusSystem optimizationpt_BR
dc.subject.nalthesaurusRepetitive sequencespt_BR
dc.subject.nalthesaurusNucleotidespt_BR
riaa.ainfo.id1091pt_BR
riaa.ainfo.lastupdate2017-05-11pt_BR
dc.identifier.doi10.1007/s11538-007-9261-6pt_BR
dc.contributor.institutionMICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; ALEX ITIRO SHIMABUKURO, PUC-Campinas.pt_BR
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