Systems Genetics (eBook, ePUB)

Linking Genotypes and Phenotypes
Redaktion: Markowetz, Florian

• Format: ePub

Produktbeschreibung

Whereas genetic studies have traditionally focused on explaining heritance of single traits and their phenotypes, recent technological advances have made it possible to comprehensively dissect the genetic architecture of complex traits and quantify how genes interact to shape phenotypes. This exciting new area has been termed systems genetics and is born out of a synthesis of multiple fields, integrating a range of approaches and exploiting our increased ability to obtain quantitative and detailed measurements on a broad spectrum of phenotypes. Gathering the contributions of leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. A snapshot of current research activity and state-of-the-art approaches to systems genetics are provided, including work from model organisms such as Saccharomyces cerevisiae and Drosophila melanogaster, as well as from human studies.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 2. Juli 2015
• Englisch
• ISBN-13: 9781316379189
• Artikelnr.: 52989353

Inhaltsangabe

List of contributors; 1. An introduction to systems genetics Florian
Markowetz and Michael Boutros; 2. Computational paradigms for analyzing
genetic interaction networks Carles Pons, Michael Costanzo, Charles Boone
and Chad L. Myers; 3. Mapping genetic interactions across many phenotypes
in metazoan cells Christina Laufer, Maximilian Billmann and Michael
Boutros; 4. Genetic interactions and network reliability Edgar
Delgado-Eckert and Niko Beerenwinkel; 5. Synthetic lethality and
chemoresistance in cancer Kimberly Maxfield and Angelique Whitehurst; 6.
Joining the dots: network analysis of gene perturbation data Xin Wang, Ke
Yuan and Florian Markowetz; 7. High content screening in infectious
diseases: new drugs against bugs André P. Mäurer, Peter R. Braun, Kate
Holden-Dye and Thomas F. Meyer; 8. Inferring genetic architecture from
systems genetics studies Xiaoyun Sun, Stephanie Mohr, Arunachalam
Vinayagam, Pengyu Hong and Norbert Perrimon; 9. Bayesian inference for
model selection: an application to aberrant signalling pathways in chronic
myeloid leukaemia Lisa E. M. Hopcroft, Ben Calderhead, Paolo Gallipoli,
Tessa L. Holyoake and Mark A. Girolami; 10. Dynamic network models of
protein complexes Yongjin Park and Joel S. Bader; 11. Phenotype state
spaces and strategies for exploring them Andreas Hadjiprocopis and Rune
Linding; 12. Automated behavioural fingerprinting of C. elegans mutants
André E. X. Brown and William R. Schafer; Index.