Nucleotide frequencies in human genome and Fibonacci numbers.

Abstract. 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.

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Bibliographic Details
Main Authors: YAMAGISHI, M. E. B., SHIMABUKURO, A. I.
Other Authors: MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; ALEX ITIRO SHIMABUKURO, PUC-Campinas.
Format: Artigo de periódico biblioteca
Language:English
eng
Published: 2007-12-10
Subjects:Genoma humano, Números de Fibonacci, Nucleotide frequencies, Chargaff's parity rules, Fibonacci numbers, Optimization problem., Modelo matemático, Mathematical models, System optimization, Repetitive sequences, Nucleotides.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1091
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spelling dig-alice-doc-10912017-08-16T04:23:56Z Nucleotide frequencies in human genome and Fibonacci numbers. YAMAGISHI, M. E. B. SHIMABUKURO, A. I. MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; ALEX ITIRO SHIMABUKURO, PUC-Campinas. Genoma humano Números de Fibonacci Nucleotide frequencies Chargaff's parity rules Fibonacci numbers Optimization problem. Modelo matemático Mathematical models System optimization Repetitive sequences Nucleotides. Abstract. 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. 2011-04-10T11:11:11Z 2011-04-10T11:11:11Z 2007-12-10 2008 2017-05-11T11:11:11Z Artigo de periódico Bulletin of Mathematical Biology, v. 70, n. 3, p. 643-653, Apr. 2008. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1091 10.1007/s11538-007-9261-6 en eng openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language English
eng
topic Genoma humano
Números de Fibonacci
Nucleotide frequencies
Chargaff's parity rules
Fibonacci numbers
Optimization problem.
Modelo matemático
Mathematical models
System optimization
Repetitive sequences
Nucleotides.
Genoma humano
Números de Fibonacci
Nucleotide frequencies
Chargaff's parity rules
Fibonacci numbers
Optimization problem.
Modelo matemático
Mathematical models
System optimization
Repetitive sequences
Nucleotides.
spellingShingle Genoma humano
Números de Fibonacci
Nucleotide frequencies
Chargaff's parity rules
Fibonacci numbers
Optimization problem.
Modelo matemático
Mathematical models
System optimization
Repetitive sequences
Nucleotides.
Genoma humano
Números de Fibonacci
Nucleotide frequencies
Chargaff's parity rules
Fibonacci numbers
Optimization problem.
Modelo matemático
Mathematical models
System optimization
Repetitive sequences
Nucleotides.
YAMAGISHI, M. E. B.
SHIMABUKURO, A. I.
Nucleotide frequencies in human genome and Fibonacci numbers.
description Abstract. 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.
author2 MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; ALEX ITIRO SHIMABUKURO, PUC-Campinas.
author_facet MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; ALEX ITIRO SHIMABUKURO, PUC-Campinas.
YAMAGISHI, M. E. B.
SHIMABUKURO, A. I.
format Artigo de periódico
topic_facet Genoma humano
Números de Fibonacci
Nucleotide frequencies
Chargaff's parity rules
Fibonacci numbers
Optimization problem.
Modelo matemático
Mathematical models
System optimization
Repetitive sequences
Nucleotides.
author YAMAGISHI, M. E. B.
SHIMABUKURO, A. I.
author_sort YAMAGISHI, M. E. B.
title Nucleotide frequencies in human genome and Fibonacci numbers.
title_short Nucleotide frequencies in human genome and Fibonacci numbers.
title_full Nucleotide frequencies in human genome and Fibonacci numbers.
title_fullStr Nucleotide frequencies in human genome and Fibonacci numbers.
title_full_unstemmed Nucleotide frequencies in human genome and Fibonacci numbers.
title_sort nucleotide frequencies in human genome and fibonacci numbers.
publishDate 2007-12-10
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1091
work_keys_str_mv AT yamagishimeb nucleotidefrequenciesinhumangenomeandfibonaccinumbers
AT shimabukuroai nucleotidefrequenciesinhumangenomeandfibonaccinumbers
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