Computational Methods for Precision Oncology

Precision  medicine holds great promise for the treatment of cancer and represents  a unique opportunity for accelerated development and application of  novel and repurposed therapeutic approaches. Current studies and  clinical trials demonstrate the benefits of genomic profiling for  patients whose cancer is driven by specific, targetable alterations.  However, precision oncologists continue to be challenged by the  widespread heterogeneity of cancer genomes and drug responses in  designing personalized treatments. Chapters provide a comprehensive  overview of the computational approaches, methods, and tools that enable  precision oncology, as well as related biological concepts. Covered  topics include genome sequencing, the architecture of a precision  oncology workflow, and introduces cutting-edge research topics in the  field of precision oncology. This book is intended for computational  biologists, bioinformaticians, biostatisticians and computational  pathologists working in precision oncology and related fields, including  cancer genomics, systems biology, and immuno-oncology.