Bioinformatics Technologies

  • Yi-Ping Phoebe Chen

Table of contents

  1. Front Matter
    Pages I-XV
  2. Yi-Ping Phoebe Chen
    Pages 1-13
  3. Qing Zhang, Stella Veretnik, Philip E. Bourne
    Pages 15-44
  4. Judice L Y Koh, Vladimir Brusic
    Pages 45-62
  5. A. W. -C. Liew, Hong Yan, Mengsu Yang
    Pages 63-116
  6. Supawan Prompramote, Yan Chen, Yi-Ping Phoebe Chen
    Pages 117-153
  7. Sang Yup Lee, Soon Ho Hong, Dong Yup Lee, Tae Yong Kim
    Pages 155-177
  8. Masao Nagasaki, Atushi Doi, Hiroshi Matsuno, Satoru Miyano
    Pages 179-242
  9. Wei Shi, Wanlei Zhou, Yi-Ping Phoebe Chen
    Pages 243-261
  10. Scott Mann, Yi-Ping Phoebe Chen
    Pages 263-298
  11. Brendan Tse, David Hume, Yi-Ping Phoebe Chen
    Pages 299-312
  12. Zu-Guo Yu, Vo Anhl, Yi-Ping Phoebe Chen
    Pages 313-351
  13. Alan W. -C. Liew, Hong Yan, Mengsu Yang, Y. -P. Phoebe Chen
    Pages 353-388

About this book

Introduction

Solving modern biological problems requires advanced computational methods. Bioinformatics evolved from the active interaction of two fast-developing disciplines, biology and information technology. The central issue of this emerging field is the transformation of often distributed and unstructured biological data into meaningful information.

This book describes the application of well-established concepts and techniques from areas like data mining, machine learning, database technologies, and visualization techniques to problems like protein data analysis, genome analysis and sequence databases. Chen has collected contributions from leading researchers in each area. The chapters can be read independently, as each offers a complete overview of its specific area, or, combined, this monograph is a comprehensive treatment that will appeal to students, researchers, and R&D professionals in industry who need a state-of-the-art introduction into this challenging and exciting young field.

Keywords

DNA DNA Data Analysis Microarray Pattern Matching Proteine Data Analysis Structural Genomics bioinformatics data analysis data mining database databases genome learning machine learning visualization

Editors and affiliations

  • Yi-Ping Phoebe Chen
    • 1
  1. 1.School of Information Technology, Faculty of Science and TechnologyDeakin UniversityAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/b138246
  • Copyright Information Springer-Verlag Berlin Hiedelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-20873-0
  • Online ISBN 978-3-540-26888-8
  • About this book