Knowledge Discovery in High-Throughput Biological Domains describes the challenges in high-throughput biology areas and emerging computational approaches for representation, integration and organization, analysis, and interpretation of this data with the overall goal of producing and managing new knowledge. The authors provide systematic management tools for high-dimensional data in high-throughput biology, discuss systems biology and integrative computation biology, and describe state-of-the-art data generation and computational analysis approaches. The book covers key application areas in genomics, mass spectrometry and proteomics, and protein crystallization.