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Introduction
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GenRGenS v2.0 User Manual
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GenRGenS v2.0 User Manual
Contents
Introduction
Generalities and file formats
How to run GenRGenS
Downloading and installing GenRGenS
Command-line version
Graphical User Interface
Description files
Main structure
Common clauses
Simple example
The MARKOV package : Markovian models
Some theoretical aspects
Main definition
What about heterogeneity ?
Hidden Markovian Models (HMMs)
Implementing a Markovian model
Main structure
Markovian generation specific clauses
Examples
A Bernoulli model
A model for a mRNA having order 1
An heterogenous model
Basic Hidden Markov Model
Command-line options and additional tools
Markov-specific option: Dead-Ends tolerance
BuildMarkov: Automatic construction of MARKOV description files
The GRAMMAR package: Context-Free Grammars(CFG)
Minimal amount of language theory
Grammars and discrete models
Uniform random generation of words of context-free languages
Stochastic approach does not guarantee uniformity
A precomputation stage is needed
Weighted languages for controlled non-uniform random generation
Implementing a CFG-based model
Main structure
Grammar generation specific clauses
A complete example
Grammar-specific command line options
The RATIONAL package : Regular Expressions and PROSITE patterns
Some theory
Regular expressions syntax
PROSITE Patterns
PROSITE patterns/Rational expressions relationship
Uniform random generation among the language denoted by a Regular Expression
Implementing a Rational/PROSITE model
Main structure
RATIONAL generation specific clauses
Examples
RATIONAL style example
PROSITE style example
Rational expressions-specific command line options
The MASTER package : Hierarchical models
Hierarchical models: Principles
Saving time and space
Ambiguity and bias
Implementing a hierarchical model
Main structure
Master generation specific clauses
Capturing Dependencies between sequences size
A complete example
Source
Semantics
Bibliography
Yann Ponty 2007-04-19