Overview
- In the past twenty years we have witnessed an explosion of interest in computer-assisted bioinformatics based analysis of cancer.
- Although this approach to experimental science is not new, it has recently gained traction among a diverse set of academic and business professionals from varied backgrounds.
Part of the book series: Cancer Drug Discovery and Development (CDD&D)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (10 chapters)
Keywords
About this book
Bioinformatics can be loosely defined as the collection, classification, storage, and analysis of biochemical and biological information using computers and mathematical algorithms. Bioinformatics represents a marriage of biology, medicine, computer science, physics, and mathematics, fields of study that have historically existed as mutually exclusive disciplines. Edited by Gavin Gordon, Bioinformatics in Cancer and Cancer Therapy, the focus of this book is to provide a historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments, to show how a bioinformatics approach has been used to characterize various cancer-related processes, and to demonstrate how a bioinformatics approach is being used to bridge basic science and the clinical arena to positively impact patient care and management.
Editors and Affiliations
Bibliographic Information
Book Title: Bioinformatics in Cancer and Cancer Therapy
Editors: Gavin J. Gordon
Series Title: Cancer Drug Discovery and Development
DOI: https://doi.org/10.1007/978-1-59745-576-3
Publisher: Humana Totowa, NJ
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Humana Press 2009
Hardcover ISBN: 978-1-58829-753-2Published: 04 December 2008
Softcover ISBN: 978-1-61737-758-7Published: 14 December 2011
eBook ISBN: 978-1-59745-576-3Published: 25 October 2008
Series ISSN: 2196-9906
Series E-ISSN: 2196-9914
Edition Number: 1
Number of Pages: X, 198
Topics: Cancer Research, Bioinformatics