By Barillot, Emmanuel
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Additional info for Computational systems biology of cancer
2010). It can be anticipated in the near future that patients will be more systematically included in clinical trials proposing the adequate molecule among the expanding list of protein kinase antagonists or other targeted molecules available. Other applications of NGS are the detection of fusion transcripts, genome rearrangements, methylation profiles within the tumour, or the search for Circulating Tumour Cells (CTC) in blood or lymph, thus facilitating prognosis and therapeutic choices without biopsies.
21 cancer research for students and researchers in mathematics and computer science, and conversely an entry point to the use of computational and modelling approaches for students and researchers in biology and oncology. This book and accompanying web site can also be used as a central resource for teaching systems biology and bioinformatics. It comes with a summary of main messages for each chapter, a series of exercises with data and algorithms, example of applications, and it offers links to other materials for deepening the subject if needed.
There are of course many excellent books presenting the computational aspects of cancer research. This book combines the following: • Offers a comprehensive overview of concepts and methods in computational systems biology of cancer • Dissects the computational and design principles behind some of the existing tools • Provides listings of additional available bioinformatics resources relevant for a computational systems biology approach to cancer • Illustrates with biological applications • Presents dynamic modelling of cancer related networks and data mining approaches • Deals in-depth with clinical aspects and biological questions Finally it is a self-consistent monograph written by colleagues from different fields of computational biology working door-to-door for several years on common projects.
Computational systems biology of cancer by Barillot, Emmanuel