Beschreibung
The mapping defined by the inter-nucleotide distances (InD) provides a reversible numerical representation of the primary structure of DNA. In this book we investigate fitting finite geometric mixture models to the InD and present a case study carried out on the complete genomes of 45 species. Our results suggest that the statistical regularities of the InD can be described by finite mixture models of geometric distributions and some characteristics of the DNA sequences are captured by those models. This research was conducted in the context of project PEst-OE/MAT/UI4106/2014, which was partially supported by Portuguese funds through the CIDMA - Center for Research and Development in Mathematics and Applications (University of Aveiro), and the Portuguese Foundation for Science and Technology ("FCT - Fundação para a Ciência e a Tecnologia").
Autorenporträt
Sara Escudeiro is currently a PhD student at the Dep of Math, Univ Aveiro (DMat-UA). She teaches at the Polytechnic Inst of Coimbra - ESAC.V. Afreixo and A. Freitas are Assistant Professors at the DMat-UA. VA, PhD in Electrical Eng, teaches and conducts research in Biostatistics. AF, PhD in Math, teaches and conducts research in Prob. and Stat.
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