Cancer Systems Biology (eBook, PDF)

Redaktion: Wang, Edwin

• Format: PDF

Produktbeschreibung

The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorgenesis, cancer research is enjoying a series of new discoveries and biological insights. Unique in its dualistic approach, this book introduces the concepts and theories of systems biology and their applications in cancer research. It presents basic cancer biology and cutting-edge topics of cancer research for computational biologists alongside systems biology analysis tools for experimental biologists.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 456
• Erscheinungstermin: 4. Mai 2010
• Englisch
• ISBN-13: 9781439811863
• Artikelnr.: 57532735

Autorenporträt

Edwin Wang received his PhD in experimental molecular genetics from the University of British Columbia in 2002. He also has undergraduate training in computer science. After working at FlyBase for a year, he moved to the Biotechnology Research Institute, National Research Council Canada, as a scientist working on bioinformatics and systems biology. He is currently a senior scientist at the National Research Council Canada and an adjunct professor at the McGill University Center for Bioinformatics. His work is focused on bioinformatics, computational, and experimental systems biology.

Inhaltsangabe

CANCER SYSTEMS BIOLOGY: CONCEPTS AND APPLICATIONS. A Roadmap of Cancer
Systems Biology. Network Biology, the Framework of Systems Biology.
Reconstructing Gene Networks Using Gene Expression Profiles. Understanding
Cancer Progression in Protein Interaction Networks. From Tumor Genome
Sequencing to Cancer Signaling Maps. Ubiquitin-Mediated Regulation of Human
Signaling Networks in Normal and Cancer Cells. microRNA Regulation of
Networks of Normal and Cancer Cells. Network Model of Survival Signaling in
T-Cell Large Granular Lymphocyte Leukemia. Cancer Metabolic Networks:
Metabolic Pathways Modeling and Metabolomics in Cancer Research. Warburg
Revisited: Modeling Energy Metabolism for Cancer Systems Biology. Cancer
Gene Prediction Using a Network Approach. CANCER BIOLOGY: BASIC CONCEPTS
AND CUTTING-EDGE TOPICS. Cancer Genomics to Cancer Biology.
Epithelial-to-Mesenchymal Transition (EMT): The Good, the Bad, and the
Ugly. Tumors and Their Microenvironments. Tumor Angiogenesis:
Cell-Microenvironment Interactions. DATA RESOURCES AND SOFTWARE TOOLS FOR
CANCER SYSTEMS BIOLOGY. Modeling Tools for Cancer Systems Biology. Advanced
Visualization, Analysis and Inference of Biological Networks Using VisANT.
Gene Set and Pathway-Based Analysis for Cancer Omics. SH2 Domain Signaling
Network and Cancer. Data Sources and Computational Tools for Cancer Systems
Biology.