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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.
This text investigates the theoretical foundations, computational methodologies, and experimental applications of ancestral sequence reconstruction in molecular evolutionary biology. David A. Liberles, an expert in evolutionary bioinformatics, synthesizes current knowledge to address how researchers can infer ancestral genetic states to test evolutionary hypotheses and link sequence data to molecular phenotypes. The book provides a comprehensive framework for both computational prediction and laboratory synthesis of these sequences.
What You Will Find
Scope Limits
Experts identify this work as a foundational text for graduate students and researchers working in molecular evolution and bioinformatics. Readers frequently note the technical density of the prose, which serves as a specialized resource for those actively engaged in laboratory or computational research.
Page Count:
272
Publication Date:
2007-01-01
Publisher:
OUP Oxford
ISBN-10:
0191538418
ISBN-13:
9780191538414
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