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Introduction
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PHASE: a Software Package
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PHASE: a Software Package
Table of Contents
Introduction
Why is
PHASE
different from other phylogenetic programs?
Acknowledgements
How to read this manual ?
Aquiring and installing the software
MS-Windows installation
Unix-like system installation
Description of programs in the
PHASE
package
optimise
and
mlphase
mcmcphase
and
consensus
likelihood
simulate
analyser
Running the programs
Using programs in the
PHASE
package
Inputs/outputs in
PHASE
Data file format
File content
Pairing mask
Molecular sequences
Class section
Control file format
Tree file format
Substitution model parameters file format
Model parameters file content
Producing a model parameters file
Parameters displayed on the screen and output of each program
Clade file format
Control files
Structure of the control files
Datafile block
Model block
Simple substitution model
Mixed model for combined analyses of heterogeneous data
Using the programs in the
PHASE
package
likelihood
Using
likelihood
Control file for
likelihood
optimise
Using
optimise
Control file for
optimise
simulate
Using
simulate
Control file for
simulate
mlphase
Using
mlphase
Control file for
mlphase
mcmcphase
Using
mcmcphase
Using
consensus
Control file for
mcmcphase
PERTURBATION
block
PERTURBATION
Block for
MIXED
models
Proposals priority
analyser
Elements of phylogenetic theory
Phylogenetic trees
Unrooted phylogenies
String representation of a tree
Branch lengths
Nucleotide substitution models
A Markov model of substitution
Transition matrices
Nucleotide substitution models implemented in
PHASE
JC69
model (Jukes-Cantor, 69)
K80
model (Kimura, 80)
HKY85
model (Hasegawa-Kishino-Yano, 85)
TN93
model (Tamura-Nei, 93)
REV
model (Yang, 94)
Paired-site substitution models
RNA secondary structure
Theory of compensatory substitutions
Base-paired substitution models implemented in
PHASE
RNA6A
model
RNA6B
model (Tillier, 94)
RNA7A
model
RNA7D
model (Tillier, 98)
RNA16A
model
Refinements to substitution models
Invariant and discrete gamma models
The
MIXED
model
Bayesian phylogenetics
Bayes' theorem
Markov chain Monte-Carlo (MCMC)
Priors and proposals
Uniform priors ?
Proposals for the parameters
Proposals for the tree
Pitfalls of Markov chain Monte-Carlo techniques
Gowri-Shankar Vivek 2003-04-24