Main description:

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.

Feature:

Provides over 350 web references

Includes useful tips and insights on how to write grant proposals and manage collaborative research projects

Back cover:

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.

Contents:

Fundamental Collaborative Research and Computational Biology.- Bioinformatics.- Systems Biology.- Developmental Biology and Ageing.- Resources Supporting Bioinformatics and Systems Biology Research.- Databases, Computational Tools and Services.- Supporting Infrastructures.- Disease-Related Collaborative Research and Computational Biology.- Infectious and Major Diseases.- Cancer.- Genetic Variation and Diseases.- Science Management, Perspectives and Conclusions.- Science Management.- Perspectives.- Outstanding Results and Conclusions.