Genome clustering: from linguistic models to classification of genetic texts

This book deals with the methods of text comparison which are based on different techniques of converting the text into a distribution on a certain finite support, be it a genetic text or a text of some other type. Such distribution is usually referred to as “spectrum”. The measure of dissimilarity of two texts is formally expressed as a certain “distance” between the spectra of these texts. Such definition implies that the similarity of the texts results from the similarity of the random processes generating the texts. Presents a general spectrum approach in bioinformatics State-of-the-art Written by experts in this field INDICE: Part 1 Biological Background.- Part 2 Biological Classification.- Part 3 Mathematical Models for the Analysis of Natural-Language Documents.- Part 4 DNA Texts.- Part 5 N-gram Spectra of the DNA Text.- Part 6 Application ofCompositional Spectra to DNA Sequences.- Part 7 Marker-Function Profile-BasedClustering.- Part 8 Genome as a Bag of Genes – the Whole-Genome Phylogenetics.- Part 9 Appendix A. Clustering Methods.- Part 10 Appendix B. Sequence Complexity.- Part 11 Appendix C. DNA curvature.

• ISBN: 978-3-642-12951-3
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 206
• Fecha Publicación: 19/05/2010
• Nº Volúmenes: 1
• Idioma: Inglés