eBook, PDF

Bioinformatics (eBook, PDF)

Volume II: Structure, Function, and Applications

Redaktion: Keith, Jonathan M.

Beschreibung

This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume II: Structure, Function, and Applications, Second Edition is comprised of three sections: Structure, Function, Pathways and Networks; Applications; and Computational Methods. The first section examines methodologies for understanding biological molecules as systems of interacting elements. The Applications section covers numerous applications of bioinformatics, focusing on analysis of genome-wide association data, computational diagnostic, and drug discovery. The final section describes four broadly applicable computational methods that are important to this field. These are: modeling and inference, clustering, parameterized algorithmics, and visualization. As a volume in the highly successful Methods in Molecular Biology series, chapters feature the kind of detailand expert implementation advice to ensure positive results. Comprehensive and practical, Bioinformatics, Volume II: Structure, Function, and Applications is an essential resource for graduate students, early career researchers, and others who are in the process of integrating new bioinformatics methods into their research.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 9.58MB

Barrierefreiheit

• Text-to-Speech

Produktdetails

• Verlag: Springer New York
• Seitenzahl: 426
• Erscheinungstermin: 26. November 2016
• Englisch
• ISBN-13: 9781493966134
• Artikelnr.: 64701714

Rezensionen

"The book is as an excellent starting point for a wide audience including undergraduates, graduates and established researchers alike. The amount of detail presented for each methodological approach, coupled with extensive examples, facilitate not only the understanding of the topic but also the bridging between the various tasks associated with the mining of big (high throughput) biological datasets." (Irina Ioana Mohorianu, zbMATH, Vol. 1384.92002, 2018)