Data Mining for Systems Biology -

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Résumé :
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.

Sommaire:
1. Dense Module Enumeration in Biological NetworksKoji Tsuda and Elisabeth Georgii ?2. Discovering Interacting Domains and Motifs in Protein-Protein InteractionsHugo Willy, Wing-Kin Sung, and See-Kiong Ng.?3. Global Alignment of Protein-Protein Interaction NetworksMisael Mongiov__ Roded Sharan?4. Structure Learning for Bayesian Networks as Models of Biological NetworksAntti Larjo, Ilya Shmulevich, and Harri L?ahdesm?aki?5. Supervised Inference of Gene Regulatory Networks from Positive Examples Fantine Mordelet and Jean-Phillippe Vert6. Mining Regulatory Network Connections by Ranking Transcription Factor Target Genes using Time Series Expression DataAnnti Honkela, Magnus Rattray, and Neil D. Lawrence?7. Identifying Pathways of Co-ordinated Gene ExpressionTimothy Hancock, Ichigaku Takigawa, and Hiroshi Mamitsuka8. Mining Frequent Subtrees in Glcan Data using the RINGS Glycan Miner ToolKiyoko Flora Aoki-Kinoshita?9. Chemogenomic Approaches to Infer Drug-target Interaction NetworksYoshihiro Yamanishi?10. Localization Prediction and Structure-based in Silico Analysis of Bacterial Proteins- with Emphasis on Outer Membrane ProteinsKenichiro Imai, Sikander Hayat, Noriyuki Sakiyama, Naoya Fujita, Kentaro Tomii, Arne Elofsson, and Paul Horton11. Analysis Strategy of Protein-Protein Interaction NetworksZhenjun Hu?12. Data Mining in the MetaCyc Family of Pathway DatabasesPeter D. Karp, Suzanne Paley, and Tomer Altman13. Gene Set/Pathway Enrichment AnalysisJui-Hung Hung?14. Construction of Functional Linkage Gene Networks by Data IntegrationBolan Linghu, Eric A. Franzosa, Yu Xia??15. Genome-Wide Association StudiesTun-Hsiang Yang, Mark Kon, Charles DeLisi?16. Viral Genome Analysis and Knowledge ManagementCarla Kuiken, Hyejin Yoon, Werner Abfalterer, Brian Gaschen, Chienchi Lo, Bette Korber?17. Molecular Network Analysis of Diseases and Drugs in KEGGMinoru Kanehisa