Bioinformatics and Systems Biology: Collaborative Research and Resources / Edition 1

Bioinformatics and Systems Biology: Collaborative Research and Resources / Edition 1

by Frederick Marcus
     
 

Collaborative research in bioinformatics and systems biology is a key element of modern biology and health research. This book highlights and provides access to many of the methods, environments, results and resources involved, including integral laboratory data generation and experimentation and clinical activities. Collaborative projects embody a research

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Overview

Collaborative research in bioinformatics and systems biology is a key element of modern biology and health research. This book highlights and provides access to many of the methods, environments, results and resources involved, including integral laboratory data generation and experimentation and clinical activities. Collaborative projects embody a research paradigm that connects many of the top scientists, institutions, their resources and research worldwide, resulting in first-class contributions to bioinformatics and systems biology. Central themes include describing processes and results in collaborative research projects using computational biology and providing a guide for researchers to access them.

The book is also a practical guide on how science is managed. It shows how collaborative researchers are putting results together in a way accessible to the entire biomedical community.

Product Details

ISBN-13:
9783540783527
Publisher:
Springer Berlin Heidelberg
Publication date:
07/31/2008
Edition description:
2008
Pages:
287
Product dimensions:
6.30(w) x 9.40(h) x 0.70(d)

Table of Contents

1 Introduction 1

Pt. I Fundamental Collaborative Research and Computational Biology

2 Bioinformatics 25

3 Systems Biology 53

4 Developmental Biology and Ageing 85

Pt. II Resources Supporting Bioinformatics and Systems Biology Research

5 Databases, Computational Tools and Services 99

6 Supporting Infrastructures 123

Pt. III Disease-Related Collaborative Research and Computational Biology

7 Infectious and Major Diseases 139

8 Cancer 165

9 Genetic Variation and Diseases 187

Pt. IV Science Management, Perspectives and Conclusions

10 Science Management 215

11 Perspective 245

12 Outstanding Results and Conclusions 255

References 263

Index 281

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