Athens, GA - The Computational Systems Biology Lab of the University of Georgia's department of biochemistry and molecular biology is pleased to announce the release of "Cancer Bioinformatics" by Springer. Authors Ying Xu (UGA), Juan Cui (University of Nebraska, Lincoln) and David Puett (UGA, retired) provide a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. The book discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer.
Cancer has been typically studied at the cell level or with xenografted animals, outside of the microenvironmental stresses and pressures that shaped the development of the cancer. This approach assumes that cancer will develop following the known rules of human biology. Instead the authors leveraged the data from The Cancer Genome Atlas and found that cancer biology is fundamentally different from human biology. Their book outlines a radically new framework for basic cancer biology, how cancer develops, and the many paths it can take to survive. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. "Cancer Bioinformatics" is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine. You can access an online book review copy at no cost by visiting the book's web page at http://www.springer.com/computer/bioinformatics/book/978-1-4939-1380-0 and listen to a short podcast of lead author Ying Xu talking about cancer and hypoxia on WAMC's Academic Minute - http://academicminute.org/2014/10/ying-xu-university-of-georgia-hypoxia/. The CSBL is a part of UGA's Franklin College of Arts and Science department of biochemistry and molecular biology and is dedicated to developing a new framework studying cancer and in doing so enable other cancer researchers and computational biologists to join in and contribute.
URL: http://csbl.bmb.uga.edu/ Contact Person: Heather Jensen (email@example.com)