Knowledge Discovery in Proteomics

Knowledge Discovery in Proteomics

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Multi-modal representations, the lack of complete and consistent domain theories, rapid evolution of domain knowledge, high dimensionality, and large amounts of missing information - these are challenges inherent in modern proteomics. As our understanding of protein structure and function becomes ever more complicated, we have reached a point where the actual management of data is a major stumbling block to the interpretation of results from proteomic platforms, to knowledge discovery. Knowledge Discovery in Proteomics presents timely, authoritative discussions on some of the key issues in high-throughput proteomics, exploring examples that represent some of the major challenges of knowledge discovery in the field. The authors focus on five specific domains: * Mass spectrometry-based protein analysis * Protein-protein interaction network analysis * Systematic high-throughput protein crystallization * Systematic, integrated analysis of multiple data repositories * Systems biology In each area, the authors describe the challenges created by the type of data produced and present potential solutions to the problem of data mining within the domain. They take a systems approach, covering individual data and integrating its computational aspects, from data preprocessing, storage, and access to analysis, visualization, and interpretation. With clear exposition, practical examples, and rich illustrations, this book presents an outstanding overview of this emerging field, and builds the background needed for the fruitful exchange of ideas between computational and biological more

Product details

  • Hardback | 360 pages
  • 157.5 x 236.2 x 25.4mm | 635.04g
  • Taylor & Francis Inc
  • CRC Press Inc
  • Bosa Roca, United States
  • English
  • 68 black & white illustrations, 22 colour illustrations, 16 black & white tables, 26 black & white halftones
  • 1584884398
  • 9781584884392

Table of contents

INTRODUCTION Knowledge Discovery Proteomics KNOWLEDGE MANAGEMENT Computational Analysis, Visualization, and Interpretation of HTP Proteomic Data Introduction to Data Management Knowledge Management Conclusions CURRENT STATUS AND FUTURE PROSPECTS OF MASS SPECTROMETRY Basic Concepts of Mass Spectrometry Multidimensional Chromatography Protein Quantitation Detection of Post-Translation Modifications Global Data Analysis, Informatics Resources, and Data Mining GRAPH THEORY ANALYSIS OF PROTEIN-PROTEIN INTERACTIONS Graph Theoretic Terminology Biological Terminology Large Network Models Protein Interaction Networks Detection of Dense Subnetworks Conclusions HTP PROTEIN CRYSTALLIZATION APPROACHES Protein Crystallization Image Analysis in http Protein Crystallization Case-based Planning of Crystallization Experiments Protein Crystallization Knowledge Discovery Conclusions INTEGRATION OF DIVERSE DATA, ALGORITHMS, AND DOMAINS Integration of Data and Tools Characterizing and Predicting Protein-Protein Interactions Approaches to Data Integration Conclusions FROM HIGH-THROUGHPUT TO SYSTEMS BIOLOGY An Overview of Systems Biology Systematic Biology Protein-Protein Interactions Modular Biology from Protein Interaction Domains Protein Interaction Networks Theoretical Models of Biological Systems Software Development for System Modeling Cancer as a System Failure Referencesshow more