The post-genomic revolution is witnessing the generation of
petabytes of data annually, with deep implications ranging across
evolutionary theory, developmental biology, agriculture, and
disease processes. "Data Mining for Systems Biology: Methods and
Protocols," surveys and demonstrates the science and technology of
converting an unprecedented data deluge to new knowledge and
biological insight. The volume is organized around two overlapping
themes, network inference and functional inference. Written in the
highly successful "Methods in Molecular Biology " series format,
chapters include introductions to their respective topics, lists of
the necessary materials and reagents, step-by-step, readily
reproducible protocols, and key tips on troubleshooting and
avoiding known pitfalls.
Authoritative and practical, "Data Mining for Systems Biology:
Methods and Protocols" also seeks to aid researchers in the further
development of databases, mining and visualization systems that are
central to the paradigm altering discoveries being made with
increasing frequency."
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