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Home > Mathematics and Science Textbooks > Biology, life sciences > Life sciences: general issues > Taxonomy and systematics > Ancestral Sequence Reconstruction
Ancestral Sequence Reconstruction

Ancestral Sequence Reconstruction


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About the Book

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 wholeproteome 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 toprovide 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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Product Details
  • ISBN-13: 9780191538414
  • Publisher: Oxford University Press, USA
  • Publisher Imprint: Oxford University Press, USA
  • Language: English
  • ISBN-10: 0191538418
  • Publisher Date: 26 Jul 2007
  • Binding: Digital (delivered electronically)
  • No of Pages: 267


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