Statistical theory and methods for evolutionary genomics
Gu, XunAuthor
Oxford : Oxford University Press,
2011.
Summarising the statistical framework of evolutionary genomics this text illustrates how statistical modelling and testing can enhance our understanding of functional genomic evolution.
Bibliographic Level Mode of Issuance: Monograph
Summarising the statistical framework of evolutionary genomics this text illustrates how statistical modelling and testing can enhance our understanding of functional genomic evolution.
Description based on print version record.
Includes bibliographical references and index.
1. Basics in molecular evolution -- 2. Basics in bioinformatics and statistics -- 3. Functional divergence after gene duplication: statistical modeling -- 4. Functional divergence after gene duplication: applications and others -- 5. Phylogenomic expression analysis between duplicate genes -- 6. Expression between duplicate genes: genome-wide analysis -- 7. Tissue-driven hypothesis of genomic evolution -- 8. Gene pleiotropy and evolution of protein sequence -- 9. Modeling the genomic evolution of gene contents -- 10. Advanced topics in systems biology and network evolution.
Genomics
Evolutionary genetics
Biological Processes
Epidemiologic Methods
Health Care Evaluation Mechanisms
Computational Biology
Genetic Processes
Mathematics
Genetics
Biological Phenomena
Biology
Natural Science Disciplines
Genetic Phenomena
Public Health
Quality of Health Care
Investigative Techniques
Phenomena and Processes
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Biological Science Disciplines
Health Care Quality, Access, and Evaluation
Disciplines and Occupations
Environment and Public Health
Statistics as Topic
Biological Evolution
Genomics
Health Care
Biology
Health & Biological Sciences
Genetics