While extremely large datasets describing gene sequences, mRNA
transcripts, protein abundance, and metabolite concentrations are
increasingly commonplace, these represent only starting 'parts
lists' that are usually insufficient to unlock mechanistic insights
on their own right. Fortunately, as "Network Biology: Methods and
Applications" examines, concepts emerging from the study of
biological entities such as networks (e.g. functional interactions
linking genes, proteins, metabolites, etc.) suggest that order
rather than chaos prevails, with such principles as modular and
hierarchical organization, reactive information-driven
causal-response behaviours, systems robustness, co-evolution, and
self-organization guiding the way. This volume presents detailed,
practical descriptions of the experimental and computational
approaches currently prevalent in network biology as written by
practiced experts in the field. Written in the highly successful
"Methods in Molecular Biology " series format, relevant chapters
contain introductions to their respective topics, lists of the
necessary materials, step-by-step, readily reproducible protocols,
and tips on troubleshooting and avoiding known pitfalls.
Comprehensive and accessible, "Network Biology: Methods and
Applications" provides an ensemble of procedures that will be of
great value to a broad assortment of readers, ranging from graduate
students to seasoned professionals looking to polish their skill
sets."
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