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Knowledge Discovery in Proteomics - Igor Jurisica, Dennis Wigle

Knowledge Discovery in Proteomics

Buch | Softcover
360 Seiten
2019
Chapman & Hall/CRC (Verlag)
978-0-367-39217-8 (ISBN)
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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 scientists.

Jurisica, Igor; Wigle, Dennis

Introduction. Knowledge Management. Current Status and Future Perspectives of Mass Spectrometry. Graph Theory Analysis of Protein--Protein Interactions. HTP Protein Crystallization Approaches. Integration of Diverse Data, Algorithms, and Domains. From High-Throughput to Systems Biology. References.

Erscheinungsdatum
Sprache englisch
Maße 156 x 234 mm
Gewicht 703 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Naturwissenschaften Biologie
ISBN-10 0-367-39217-8 / 0367392178
ISBN-13 978-0-367-39217-8 / 9780367392178
Zustand Neuware
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