Title :
DNA synthetic sequences generation using multiple competing Markov models
Author :
Pratas, Diogo ; Bastos, Carlos A C ; Pinho, Armando J. ; Neves, António J R ; Matos, Luís M O
Author_Institution :
Signal Process. Lab., Univ. of Aveiro, Aveiro, Portugal
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.
Keywords :
DNA; Markov processes; molecular biophysics; DNA compression; DNA synthetic sequences generation; Markov model; finite-context modelling; Context; Context modeling; DNA; Data models; Entropy; Generators; Markov processes; DNA entropy; Markov models; Statistical generator; synthetic sequences;
Conference_Titel :
Statistical Signal Processing Workshop (SSP), 2011 IEEE
Conference_Location :
Nice
Print_ISBN :
978-1-4577-0569-4
DOI :
10.1109/SSP.2011.5967639