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Zusatztext This combination of theory and application is unusual and broadens the appeal of the book for researchers or for teachers of advanced seminars...This gives the book a light and readable quality Informationen zum Autor David A. Liberles is Assistant Professor at the Department of Molecular Biology, University of Wyoming, USA Klappentext Ancestral sequence reconstruction is an interdisciplinary field of growing importance for understanding the evolution of molecular function. The technique is poised to become a mainstream component of molecular biology and functional genomics. This book represents the first synthesis of theories, methodologies and applications. Zusammenfassung Ancestral sequence reconstruction is a technique of growing importance in molecular evolutionary biology and comparative genomics. As a powerful tool for testing evolutionary and ecological hypotheses, as well as uncovering the link between sequence and molecular phenotype, there are potential applications in a range of fields. Ancestral Sequence Reconstruction starts with a historical overview of the field, before discussing the potential applications in drug discovery and the pharmaceutical industry. This is followed by a section on computational methodology, which provides a detailed discussion of the available methods for reconstructing ancestral sequences (including their advantages, disadvantages, and potential pitfalls). Purely computational applications of the technique are then covered, including whole proteome reconstruction. Further chapters provide a detailed discussion on taking computationally reconstructed sequences and synthesizing them in the laboratory. The book concludes with a description of the scientific questions where experimental ancestral sequence reconstruction has been utilized to provide insights and inform future research. This research level text provides a first synthesis of the theories, methodologies and applications associated with ancestral sequence recognition, while simultaneously addressing many of the hot topics in the field. It will be of interest and use to both graduate students and researchers in the fields of molecular biology, molecular evolution, and evolutionary bioinformatics....
