| Description |
1 online resource (242 pages) |
| Series |
Bioinformatics & Biomedical Imaging |
|
Artech House bioinformatics & biomedical imaging series.
|
| Contents |
Biological Database Modeling; Contents; Preface; Acknowledgments; Chapter 1 Introduction to Data Modeling; Chapter 2 Public Biological Databases for -Omics Studies in Medicine; Chapter 3 Modeling Biomedical Data; Chapter 4 Fundamentals of Gene Ontology; Chapter 5 Protein Ontology; Chapter 6 Information Quality Management Challenges for High-Throughput Data; Chapter 7 Data Management for Fungal Genomics: An Experience Report; Chapter 8 Microarray Data Management: An Enterprise Information Approach; Chapter 9 Data Management in Expression-Based Proteomics |
|
Chapter 10 Model-Driven Drug Discovery: Principles and PracticesChapter 11 Information Management and Interaction in High-Throughput Screeningfor Drug Discovery; About the Authors; Index |
| Summary |
Modern biological research in areas like drug discovery produces a staggering volume of data, and the right modeling tools can help scientists apply it in ways never before imaginable. This collection of next-generation biodata modeling techniques combines innovative concepts, methods, and applications with case studies in genome, microarray, proteomics, and drug discovery projects that helps bioinformatics professionals develop ever-more powerful data management systems in any domain |
| Notes |
Print version record |
| Subject |
Bioinformatics.
|
|
Computational biology.
|
|
Database management.
|
|
Biological models.
|
|
Database Management Systems
|
|
Models, Biological
|
|
Computational Biology
|
|
Biological models
|
|
Bioinformatics
|
|
Computational biology
|
|
Database management
|
| Form |
Electronic book
|
| ISBN |
9781596932593 |
|
1596932597 |
|
9781596932586 |
|
1596932589 |
|
