Progress in Population Genetics and Human Evolution

This book is devoted to the collection, interpretation and analysis of population genetic data. Among the topics included here are studies on human evolutionary history, molecular techniques for generating data, statistical and computational techniques for the interpretation of such data, and stochastic models for genealogy and population structure. The chapters reflect the close interaction between experimental molecular biologists and theoreticians. The book will be useful for specialists in the area, as well as mathematicians, statisticians, computer scientists and biologists wanting a brief overview of current problems in the field.

Info autore

Simon Tavare holds the George and Louise Kawamoto Chair in Biological Sciences and is a Professor of Biological Sciences, Mathematics, and Preventive Medicine at the University of Southern California. Professor Tavare's research lies at the interface between statistics and biology, specifically focusing on problems arising in molecular biology, human genetics, population genetics, molecular evolution, and bioinformatics. His statistical interests focus on stochastic computation. Among the applications are linkage disequilibrium mapping, stem cell evolution, and inference in the fossil record. Dr. Tavare is also a professor in the Department of Oncology at the University of Cambridge, England, where his group concentrates on cancer genomics.

Dettagli sul prodotto

• Con la collaborazione di: Simon Tavare (Editore), Peter Donnelly (Editore), Pete Donnelly (Editore), Tavare (Editore), Tavare (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 27.10.2010
• Categoria: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica m
• EAN: 9781441928566
• ISBN: 978-1-4419-2856-6
• Numero di pagine: 330
• Illustrazioni: X, 330 p.
• Dimensioni (della confezione): 15.5 x 1.9 x 23.5 cm
• Peso (della confezione): 534 g
• Serie: The IMA Volumes in Mathematics and its Applications > Vol.87; The IMA Volumes in Mathematics and its Applications > 87
• Categorie: Wahrscheinlichkeitsrechnung und Statistik; Klassische Mechanik