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Statistical Theory and Methods for Evolutionary Genomics
"Evolutionary genomics is a relatively new research field with the ultimate goal of understanding the underlying evolutionary and genetic mechanisms for the emergence of genome complexity under changing environments. It stems from an integration of high throughput data from functional genomi...
| 1. Verfasser: | |
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| Format: | Printed Book |
| Veröffentlicht: |
Oxford ; New York
Oxford University Press
2011
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| Schriftenreihe: | Oxford biology.
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| Schlagworte: |
| LEADER | 02380nam a2200181Ia 4500 | ||
|---|---|---|---|
| 999 | |c 28404 |d 28404 | ||
| 020 | |a 9780199213269 | ||
| 082 | |a 572.838 GU-S | ||
| 100 | |a Xun Gu | ||
| 245 | |a Statistical Theory and Methods for Evolutionary Genomics | ||
| 260 | |a Oxford ; New York |b Oxford University Press |c 2011 | ||
| 300 | |a xi, 259 p. : ill ; 26 cm. | ||
| 490 | |a Oxford biology. | ||
| 505 | |a 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. | ||
| 520 | |a "Evolutionary genomics is a relatively new research field with the ultimate goal of understanding the underlying evolutionary and genetic mechanisms for the emergence of genome complexity under changing environments. It stems from an integration of high throughput data from functional genomics, statistical modelling and bioinformatics, and the procedure of phylogeny-based analysis. Statistical Theory and Methods for Evolutionary Genomics summarises the statistical framework of evolutionary genomics, and illustrates how statistical modelling and testing can enhance our understanding of functional genomic evolution. The book reviews the recent developments in methodology from an evolutionary perspective of genome function, and incorporates substantial examples from high throughput data in model organisms. In addition to phylogeny-based functional analysis of DNA sequences, the author includes extensive discussion on how new types of functional genomic data (e.g. microarray) can provide exciting new insights into the evolution of genome function, which can lead in turn to an understanding of the emergence of genome complexity during evolution"- | ||
| 650 | |a Genomics -Statistical methods. Evolutionary genetics -Statistical methods. | ||
| 942 | |c BK | ||
| 952 | |0 0 |1 0 |4 0 |6 572_838000000000000_GUS |7 0 |9 31088 |a DCB |b DCB |d 2015-09-01 |l 0 |o 572.838 GU-S |p DCB1939 |r 2015-09-01 |w 2019-07-19 |y BK | ||