Systems Genetics: Linking Genotypes and Phenotypes

ISBN-13: 9781108794596 / Angielski / Miękka / 2020 / 270 str.

Florian Markowetz; Michael Boutros

Opis

Gathering contributions from leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. Researchers and graduate students in genetics, functional genomics, bioinformatics, computational biology, systems biology and biotechnology will find this a valuable and timely tool.

Recenzje

'Since the completion of the Human Genome Project we hold the 'book of life' in our hands, but for the most part, we do not understand how to interpret it. We lack an understanding of the grammar that it is written in. With this book the authors put together an impressive collection of chapters that provide insights into our current efforts to understand how genetic information is integrated, coordinated and ultimately assembled into biological systems. If you are interested in how to decipher the grammar of life this is a must read!' Frank Buchholz, Technische Universität Dresden, Germany

Spis treści

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.