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Ancestral Sequence Reconstruction
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Ancestral Sequence Reconstruction

Book Details

Format Hardback or Cased Book
ISBN-10 0199299188
ISBN-13 9780199299188
Publisher Oxford University Press
Imprint Oxford University Press
Country of Manufacture GB
Country of Publication GB
Publication Date May 31st, 2007
Print length 272 Pages
Weight 650 grams
Dimensions 19.60 x 25.40 x 2.30 cms
Ksh 25,500.00
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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.
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.

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