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EDIBLE: experimental design and information calculations in phylogenetics
1Department of Genetics, Downing Street, Cambridge CB2 3EH, UK.
Bioinformatics (Oxford, England)
|June 27, 2000
Summary
This study introduces EDIBLE, a program for optimizing experimental design in molecular phylogenetics. It uses statistical models to improve the accuracy of evolutionary inference from DNA sequences.
Area of Science:
- Molecular evolution
- Phylogenetics
- Bioinformatics
Background:
- Evolutionary inference from molecular sequences is a statistical problem.
- Experimental design in this field has received limited attention.
- The EDIBLE program addresses this gap.
Purpose of the Study:
- To develop a computational tool for optimizing experimental design in molecular phylogenetics.
- To provide methods for calculating Fisher information measures under various designs.
- To enhance the statistical rigor of evolutionary inference.
Main Methods:
- Development of the EDIBLE computer program.
- Implementation of likelihood calculations using Markov process models of nucleotide substitution.
- Integration with phylogenetic trees to compute Fisher information measures.
Main Results:
- The EDIBLE program enables likelihood calculations based on established models.
- It computes Fisher information measures relevant to experimental design.
- These computations aid in addressing optimal experimental design questions.
Conclusions:
- EDIBLE facilitates statistically sound experimental design in molecular phylogenetics.
- The program's methods improve the efficiency and accuracy of evolutionary inference.
- It offers a valuable tool for researchers in the field.