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 Prools
, 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 prools, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical,
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.