Informatics In Proteomics
eBook - ePub

Informatics In Proteomics

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Informatics In Proteomics

About this book

The handling and analysis of data generated by proteomics investigations represent a challenge for computer scientists, biostatisticians, and biologists to develop tools for storing, retrieving, visualizing, and analyzing genomic data. Informatics in Proteomics examines the ongoing advances in the application of bioinformatics to proteomics researc

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Yes, you can access Informatics In Proteomics by Sudhir Srivastava in PDF and/or ePUB format, as well as other popular books in Medicine & Biotechnology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2005
eBook ISBN
9781040205051
Topic
Medicine
Subtopic
Biotechnology

Table of contents

  1. Cover Page
  2. Halftitle Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Foreword
  7. Preface
  8. Contributors
  9. Contents
  10. Chapter 1 The Promise of Proteomics: Biology, Applications, and Challenges
  11. Chapter 2 Proteomics Technologies and Bioinformatics
  12. Chapter 3 Creating a National Virtual Knowledge Environment for Proteomics and Information Management
  13. Chapter 4 Public Protein Databases and Interfaces
  14. Chapter 5 Proteomics Knowledge Databases: Facilitating Collaboration and Interaction between Academia, Industry, and Federal Agencies
  15. Chapter 6 Proteome Knowledge Bases in the Context of Cancer
  16. Chapter 7 Data Standards in Proteomics: Promises and Challenges
  17. Chapter 8 Data Standardization and Integration in Collaborative Proteomics Studies
  18. Chapter 9 Informatics Tools for Functional Pathway Analysis Using Genomics and Proteomics
  19. Chapter 10 Data Mining in Proteomics
  20. Chapter 11 Protein Expression Analysis
  21. Chapter 12 Nonparametric, Distance-Based, Supervised Protein Array Analysis
  22. Chapter 13 Protein Identification by Searching Collections of Sequences with Mass Spectrometric Data
  23. Chapter 14 Bioinformatics Tools for Differential Analysis of Proteomic Expression Profiling Data from Clinical Samples
  24. Chapter 15 Sample Characterization Using Large Data Sets
  25. Chapter 16 Computational Tools for Tandem Mass Spectrometry-Based High-Throughput Quantitative Proteomics
  26. Chapter 17 Pattern Recognition Algorithms and Disease Biomarkers
  27. Chapter 18 Statistical Design and Analytical Strategies for Discovery of Disease-Specific Protein Patterns
  28. Chapter 19 Image Analysis in Proteomics
  29. Index