Plant Systems Biology (eBook, PDF)

Redaktion: Baginsky, Sacha; Fernie, Alisdair R.

• Format: PDF

Produktbeschreibung

This volume aims to provide a timely view of the state-of-the-art in systems biology. The editors take the opportunity to define systems biology as they and the contributing authors see it, and this will lay the groundwork for future studies. The volume is well-suited to both students and researchers interested in the methods of systems biology. Although the focus is on plant systems biology, the proposed material could be suitably applied to any organism.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Birkhäuser Basel
• Seitenzahl: 358
• Erscheinungstermin: 25. Juni 2007
• Englisch
• ISBN-13: 9783764374396
• Artikelnr.: 37397950

Autorenporträt

Sacha Baginsky, Swiss Federal Institute of Technology, Zurich, Switzerland / Alisdair R. Fernie, MPI for Molecular Plant Physiology, Golm, Germany

Inhaltsangabe

Introduction to systems biology.- Natural and artificially induced genetic variability in crop and model plant species for plant systems biology.- Transcriptional profiling approaches to understanding how plants regulate growth and defence: a case study illustrated by analysis of the role of vitamin C.- Case studies for transcriptional profiling.- Regulatory small RNAs in plants.- Differential display and protein quantification.- Protein identification using mass spectrometry: a method overview.- Methods, applications and concepts of metabolite profiling: primary metabolism.- Methods, applications and concepts of metabolite profiling: primary metabolism: secondary metabolism.- Metabolic flux analysis. Recent advances in carbon metabolism in plants.- Network visualization and network analysis.- Current challenges and approaches for the synergistic use of systems biology data in the scientific community.- Integrated data analysis for genome-wide research.- Network analysis of systems elements.