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Conference proceedings article

Title DNA synthetic sequences generation using multiple competing Markov models
Author Diogo Pratas, Carlos A C Bastos, Armando J. Pinho, António J. R. Neves, Luís Matos
Booktitle Proc. of the IEEE Workshop on Statistical Signal Processing, SSP 2011
Address Nice, France
Pages 133-136
Month June
Year 2011
Group (before 2015) Signal Processing Laboratory
Indexed by ISI Not known yet
Scope International

Abstract - The development and implementation of computational models to represent DNA sequences is a great challenge. Markov models, usually known as finite-context models, have been used for a long time in DNA compression. In a previous work, we have shown that finite-context modelling can also be used for sequence generation. Furthermore, it is known that DNA is better represented by multiple finite-context models. However, the previous generator only allowed a single finite-context model to be used for generating a certain sequence. In this paper, we present results regarding a synthetic DNA generator based on multiple competing finite-context models.

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