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Nucleotide frequencies in human genome and Fibonacci numbers
- Source :
- Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice), Empresa Brasileira de Pesquisa Agropecuária (Embrapa), instacron:EMBRAPA
- Publication Year :
- 2007
-
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. It is noteworthy, that the predicted values are solutions of an optimization problem, which is commonplace in many nature's phenomena.<br />12 pages, 2 figures
- Subjects :
- Fibonacci number
Optimization problem
Nucleotide frequencies
General Mathematics
Nucleotides
Immunology
Genoma humano
DNA, Single-Stranded
Fibonacci numbers
Números de Fibonacci
General Biochemistry, Genetics and Molecular Biology
Chargaff's rules
Humans
Nucleotide
Limit (mathematics)
Chargaff's parity rules
Repetitive sequences
General Environmental Science
Mathematics
Pharmacology
chemistry.chemical_classification
Discrete mathematics
Modelo matemático
Mathematical models
Models, Genetic
Genome, Human
System optimization
General Neuroscience
Other Quantitative Biology (q-bio.OT)
Quantitative Biology - Other Quantitative Biology
Connection (mathematics)
Computational Theory and Mathematics
chemistry
FOS: Biological sciences
Parity rule
Human genome
General Agricultural and Biological Sciences
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice), Empresa Brasileira de Pesquisa Agropecuária (Embrapa), instacron:EMBRAPA
- Accession number :
- edsair.doi.dedup.....120a77184abde3310513a00f749b72ff