Overview
- Provides over 350 web references
- Includes useful tips and insights on how to write grant proposals and manage collaborative research projects
- Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
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Front Matter
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Fundamental Collaborative Research and Computational Biology
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Resources Supporting Bioinformatics and Systems Biology Research
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Disease-Related Collaborative Research and Computational Biology
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Science Management, Perspectives and Conclusions
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Bioinformatics and Systems Biology
Book Subtitle: Collaborative Research and Resources
Authors: Frederick B. Marcus
DOI: https://doi.org/10.1007/978-3-540-78353-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-78352-7Published: 31 July 2008
Softcover ISBN: 978-3-642-09706-5Published: 19 October 2010
eBook ISBN: 978-3-540-78353-4Published: 22 July 2008
Edition Number: 1
Number of Pages: XXVI, 287
Topics: Bioinformatics, Life Sciences, general, Theory of Computation, Computer Appl. in Life Sciences, Cell Biology, Biochemistry, general