Genome Clustering From Linguistic Models to Classification of Genetic Texts /

• Main Authors: Bolshoy, Alexander (Author), Volkovich, Zeev (Vladimir) (Author), Kirzhner, Valery (Author), Barzily, Zeev (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Studies in Computational Intelligence, 286
• Subjects: Computer science.; Artificial intelligence.; Computer-aided engineering.; Applied mathematics.; Engineering mathematics.; Computer Science.; Computer-Aided Engineering (CAD, CAE) and Design.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

The study of language texts at the level of formal non-semantic models has a long history. Suffice it to say that the well-known Markov chains were first introduced as one of such models. The representation of biological data as text and, consequently, applications of text-analysis models in the fie...

Table of Contents:

• Biological Background
• Biological Classification
• Mathematical Models for the Analysis of Natural-Language Documents
• DNA Texts
• N-Gram Spectra of the DNA Text
• Application of Compositional Spectra to DNA Sequences
• Marker-Function Profile-Based Clustering
• Genome as a Bag of Genes – The Whole-Genome Phylogenetics.