Data Mining for Systems Biology: Methods and Protocols [Hardcover]

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.

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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.

As ever more petabytes of information are added to biological databases such as that for the human genome, this new volume in the Methods in Molecular Biology series explains how to convert the deluge of fresh data into new knowledge and biological insight.

1. Dense Module Enumeration in Biological Networks

Koji Tsuda and Elisabeth Georgii

?2. Discovering Interacting Domains and Motifs in Protein-Protein Interactions

Hugo Willy, Wing-Kin Sung, and See-Kiong Ng.

?3. Global Alignment of Protein-Protein Interaction Networks

Misael Mongiov__ Roded Sharan

?4. Structure Learning for Bayesian Networks as Models of Biological Networks

Antti Larjo, Ilya Shmulevich, lsW