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This volume addresses the latest state-of-the-art systems
biology-oriented approaches that--driven by big data and
bioinformatics--are utilized by Computational Systems Biology, an
interdisciplinary field that bridges experimental tools with
computational tools to tackle complex questions at the frontiers of
knowledge in medicine and biotechnology. The chapters in this book
are organized into six parts: systems biology of the genome,
epigenome, and redox proteome; metabolic networks; aging and
longevity; systems biology of diseases; spatiotemporal patterns of
rhythms, morphogenesis, and complex dynamics; and genome scale
metabolic modeling in biotechnology. In every chapter, readers will
find varied methodological approaches applied at different levels,
from molecular, cellular, organ to organisms, genome to phenome,
and health and disease. Written in the highly successful Methods in
Molecular Biology series format, chapters include introductions to
their respective topics; criteria utilized for applying specific
methodologies; lists of the necessary materials, reagents,
software, databases, algorithms, mathematical models, and dedicated
analytical procedures; step-by-step, readily reproducible
laboratory, bioinformatics, and computational protocols all
delivered in didactic and clear style and abundantly illustrated
with express case studies and tutorials; and tips on
troubleshooting and advice for achieving reproducibility while
avoiding mistakes and misinterpretations. The overarching goal
driving this volume is to excite the expert and stimulate the
newcomer to the field of Computational Systems Biology.
Cutting-edge and authoritative, Computational Systems Biology in
Medicine and Biotechnology: Methods and Protocols is a valuable
resource for pre- and post-graduate students in medicine and
biotechnology, and in diverse areas ranging from microbiology to
cellular and organismal biology, as well as computational and
experimental biologists, and researchers interested in utilizing
comprehensive systems biology oriented methods.
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