Methods in Molecular Biology

Data Mining Techniques for the Life Sciences

Editors: Carugo, Oliviero, Eisenhaber, Frank (Eds.)

  • An easily accessible reference book for computational data mining, ranging from databases, to computational details, and to modern applications
  • Covers a wide range of biological systems and in silico approaches
  • Presents the exciting interface between computational and experimental approaches of molecular biology
  • Serves as a comprehensive guide to designing and running systematic and large scale computational analyses of biological data
  • Outlines the process of turning a series of observations into a network of relationships
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eBook $129.00
price for USA (gross)
  • ISBN 978-1-60327-241-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-1-60327-240-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the minds of researchers previously, the development of high-throughput technologies has caused the weight to increasingly shift to the problem of interpreting accumulated data in terms of biological function and biomolecular mechanisms. In Data Mining Techniques for the Life Sciences, experts in the field contribute valuable information about the sources of information and the techniques used for "mining" new insights out of databases. Beginning with a section covering the concepts and structures of important groups of databases for biomolecular mechanism research, the book then continues with sections on formal methods for analyzing biomolecular data and reviews of concepts for analyzing biomolecular sequence data in context with other experimental results that can be mapped onto genomes. As a volume of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.

Authoritative and easy to reference, Data Mining Techniques for the Life Sciences seeks to aid students and researchers in the life sciences who wish to get a condensed introduction into the vital world of biological databases and their many applications.

Reviews

From the reviews:

“The book consists of three parts with 22 chapters prepared by well-known experts from many countries. … book will be useful for students and researchers, such as biochemists, molecular biologists, and biotechnologists, who wish to get a condensed introduction to the world of biological databases and their applications related to various aspects of life science.” (G. Ya. Wiederschain, Biochemistry, Vol. 76 (4), 2011)

“Provides a comprehensive overview and reference for molecular biologists and bioinformaticians as to the goals and scope of each database in each category. … The chapters are well written and provide a good introduction to the addressed topics … . Each chapter is an interesting and informative read in itself … . Overall, this edited volume provides a good reference to the current state of bioinformatics-related databases and as an introduction to the more common machine-learning techniques in bioinformatics.” (Iddo Friedberg, The Quarterly Review of Biology, Vol. 86, December, 2011)


Table of contents (22 chapters)

  • Nucleic Acid Sequence and Structure Databases

    Washietl, Stefan (et al.)

    Pages 3-15

  • Genomic Databases and Resources at the National Center for Biotechnology Information

    Tatusova, Tatiana

    Pages 17-44

  • Protein Sequence Databases

    Rebhan, Michael

    Pages 45-57

  • Protein Structure Databases

    Laskowski, Roman A.

    Pages 59-82

  • Protein Domain Architectures

    Mulder, Nicola J.

    Pages 83-95

Buy this book

eBook $129.00
price for USA (gross)
  • ISBN 978-1-60327-241-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-1-60327-240-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining Techniques for the Life Sciences
Editors
  • Oliviero Carugo
  • Frank Eisenhaber
Series Title
Methods in Molecular Biology
Series Volume
609
Copyright
2010
Publisher
Humana Press
Copyright Holder
Humana Press
Distribution Rights
Distribution rights for India: Atlantic Pub. & Distr. (P) Ltd., New Delhi, India
eBook ISBN
978-1-60327-241-4
DOI
10.1007/978-1-60327-241-4
Hardcover ISBN
978-1-60327-240-7
Series ISSN
1064-3745
Edition Number
1
Number of Pages
XII, 407
Topics