The case for large-size mutations
Autor: | Sid Deutsch |
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Rok vydání: | 2001 |
Předmět: |
Models
Statistical Models Genetic Genome Human Stochastic process DNA Mutational Analysis Biomedical Engineering General Medicine Random effects model Exponential function Evolution Molecular Combinatorics Simple (abstract algebra) Mutation Poisson point process Mutation (genetic algorithm) Humans Poisson Distribution Random mutation Algorithm Large size Mathematics Sequence (medicine) |
Zdroj: | IEEE Transactions on Biomedical Engineering. 48:124-127 |
ISSN: | 0018-9294 |
DOI: | 10.1109/10.900273 |
Popis: | There are no laws of physics or chemistry that forbid large mutations. Therefore, the "size" of a random mutation should fit the mathematics of a Poisson point process: the number of mutations (N), versus mutation size (MS), should obey an exponential relationship. Three examples are examined: a simple 15-mutation sequence; actual experimental data involving a sequence of 56,611 random action potentials (rather than mutations); and a synthetic sequence of 65,535 random mutations. In the latter example, with an average MS of 2.22 units, the largest MS is a 25-unit giant that would be associated with major changes. |
Databáze: | OpenAIRE |
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