Practical Systems Biology: Volume 61Alistair Hetherington, Claire Grierson Garland Science, 19.11.2008 - 198 Seiten Systems biology is the study of organisms as interacting networks of genes, proteins and reactions. Practical Systems Biology provides a detailed overview of the different approaches used in this relatively new discipline, integrating bioinformatics, genomics, proteomics and metabolomics. Various areas of research are also discussed, including the use of computational models of biological processes, and post-genomic research. Each chapter is written by an experienced researcher and gives an excellent account of various issues of systems biology that is suitable for postgraduate and postdoctoral researchers who are interested in this expanding area of science.
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Inhalt
Cell sampling and global nucleic acid amplification | 17 |
Challenges and opportunities | 37 |
From DNA to flux and back | 65 |
Using mathematical models to probe dynamic expression data | 93 |
A dynamic and integrative | 113 |
Spatiotemporal dynamics of protein modification cascades | 141 |
Intracellular signalling during bacterial chemotaxis | 161 |
Modelling the mammalian heart | 175 |
Modelling root growth and development | 195 |
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Andere Ausgaben - Alle anzeigen
Practical Systems Biology, Band 61 Alistair Hetherington,Claire Grierson Keine Leseprobe verfügbar - 2008 |
Häufige Begriffe und Wortgruppen
acid activity amplification analysis application approach assume auxin behaviour Biol biology cardiac cell cellular changes coefficient complex components computational concentration cycle cytoplasm depends described detailed determine diffusion direct dynamics effect enzyme equations et al example experimental experiments factor Figure flux function gene expression genetic genome glucose growth identification important increase individual inference initial integrative interactions involved kinase labelling mass mathematical models measurements mechanisms membrane metabolic methods microarray modification molecular mRNA Nature observed organisms parameters pathway patterns peptides phosphorylation plant possible potential predict protein Proteomics quantitative reaction recent receptor regulation regulatory relative represented requires respectively response root samples scale sequence signalling simulation single specific structure studies systems biology tion tissue transcription transport types understanding values