From the beginning of the OMICs biology era, science has been pursuing the reduction of the complex ‘genome-wide’ assays in order to understand the essential biology that lies beneath it. In Protein Networks and Pathway Analysis, expert practitioners present a compilation of methods of functional data analysis, often referred to as ‘systems biology,’ and its applications in drug discovery, medicine and basic disease research. The volume is divided into three convenient sections, covering the elucidation of protein, compound and gene interactions, analytical tools, including networks, interactome and ontologies, and applications of functional analysis. As a volume in the highly successful Methods in Molecular Biology™ series, this work provides detailed descriptions andhands-on implementation advice. A broad overview of experimental and analytical methods of functional data analysis written by the leaders in the field Details multiple aspects of biological networks, from collecting binary interactions to building algorithms and modeling Provides a guide to real life and research applications of current methods of systems biology Covers a wide range ofcell-based assay formats and systems INDICE: From the contents Mining Protein-Protein Interactions from Published Literature Using Linguamatics I2E.- Relative Avidity, Specificity, Sensitivity of Transcription Factor-DNA Binding in Genome-Scale Experiments.- Curationof Inhibitor-Target Data: Process and Impact on Pathway Analysis.- Profiling Protein Interaction Networks with Functional Protein Microarrays.- Manual Annotation of Protein Interactions.- Gene Set Enrichment Analysis.- PANTHER Pathway: An Ontology-Based Pathway Database Coupled with Data Analysis Tools.- Prioritizing Genes for Pathway Impact Using Network Analysis.- Discovering Biological Networks from Diverse Functional Genomic Data.- Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated ‘Knowledge-Based’ Platform.- Kinetic Modeling as a Tool to Integrate Multilevel Dynamic Experimental Data.- Cytoscape: A Community Based Framework for Network Modeling.- Semantic Data Integration and Knowledge Management to Represent Biological Network Associations.
- ISBN: 978-1-60761-174-5
- Editorial: Humana
- Encuadernacion: Cartoné
- Páginas: 345
- Fecha Publicación: 01/08/2009
- Nº Volúmenes: 1
- Idioma: Inglés