Version 4.1.5
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Welcome to seq++

4.1.5

The seq++ package offers seq++ modularity enables the study of genomic data at abstract levels, as well as any biological process which can be seen as a succession of states taken in a finite ensemble:

The genericity of seq++ is ensured by the possibility of storing and working with any kind of sequence based on any alphabet (DNA, proteins, codons, others...).

seq++ enables sequences modeling with Markov, Variable Length Markov and newly developped Parsimonious Markov models and Mixture Transition Distributions models. All these models can be phased.

Simulation modules are implemented so that developers can perform Monte Carlo methods.

Reference: Miele V, Bourguignon PY, Robelin D, Nuel G, Richard H. (2005) seq++: analyzing biological sequences with a range of Markov-related models. Bioinformatics 21 (11): 2783.

Warning: please watch The correct version of the published Fig.2.

Contact: Vincent Miele name@genopole.cnrs.fr [anti-spam: please replace "name" by the corresponding name "miele"]



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