Evolutionary trees from DNA sequences: a maximum-likelihood approach
Technical Report
·
OSTI ID:6063535
The application of maximum likelihood techniques to the estimation of evolutionary trees from nucleic acid sequence data is discussed. A computationally feasible method for finding such maximum likelihood estimates is developed, and a computer program is available. This method has advantages over the traditional parsimony algorithms, which can give misleading results if rates of evolution differ in different lineages. It also allows the testing of hypotheses about the constancy of evolutionary rates by likelihood ratio tests, and gives rough indication of the error of the estimate of the tree.
- Research Organization:
- Washington Univ., Seattle (USA). Dept. of Genetics
- OSTI ID:
- 6063535
- Report Number(s):
- DOE/EV/71005-55; ON: DE82002288
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
550200* -- Biochemistry
550800 -- Morphology
59 BASIC BIOLOGICAL SCIENCES
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ALGORITHMS
BIOLOGICAL EVOLUTION
CALCULATION METHODS
COMPARATIVE EVALUATIONS
COMPUTER CODES
DNA
ERRORS
FORECASTING
MATHEMATICAL LOGIC
MAXIMUM-LIKELIHOOD FIT
MOLECULAR STRUCTURE
NUCLEIC ACIDS
NUMERICAL SOLUTION
ORGANIC COMPOUNDS
550800 -- Morphology
59 BASIC BIOLOGICAL SCIENCES
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ALGORITHMS
BIOLOGICAL EVOLUTION
CALCULATION METHODS
COMPARATIVE EVALUATIONS
COMPUTER CODES
DNA
ERRORS
FORECASTING
MATHEMATICAL LOGIC
MAXIMUM-LIKELIHOOD FIT
MOLECULAR STRUCTURE
NUCLEIC ACIDS
NUMERICAL SOLUTION
ORGANIC COMPOUNDS