Bioinformatics in Cancer and Cancer Therapy (Cancer Drug Discovery and Development)

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__, edited by Gavin Gordon, provides an historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments in order 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. Bioinformatics can be loosely defined as the collection, classification, storage, and analysis of biochemical and biological information using computers and mathematical algorithms. Although no single person or group started the field wholly on their own, Temple Smith, Ph.D., a professor at Boston University, is generally credited with coining the term. Bioinformatics represents a marriage of biology, medicine, computer science, physics, and mathematics, fields of study that have historically existed as mutually exclusive disciplines. Concurrently, bioinformatics has vaulted into the public’s eye in lay newspapers and magazines, most notably in the area of (personalized) DNA sequencing. The combined result is that bioinformatics is being heralded as a panacea to the current limitations in the clinical management of cancer. While certainly over optimistic in some regards, this designation is not without promise particularly in the area of cancer diagnosis and prognosis. The focus of this book is to: i) to provide a historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments, ii) to show how a bioinformatics approach has been used to characterize various cancer-related processes, and iii) to demonstrate how a bioinformatics approach is being used to bridge basic science and the clinical arena to positively impact patient care and management. The emergence of bioinformatics : historical perspective, quick overview and future trends / Christos A. Ouzounis The statistical design and interpretation of microarray experiments / Kevin K. Dobbin and Richard M. Simon Whole-genome analysis of cancer / Steven A. Enkemann ... [et al.] Bioinformatics approaches to the analysis of the transcriptome of animal models of cancer / Mark J. Hoenerhoff ... [et al.] Significance of aberrant expression of miRNAs in cancer cells / George A. Calin ... [et al.] Proteomic methods in cancer research / Scot Weinberger and Egisto Boschetti Comprehensive genomic profiling for biomarker discovery for cancer detection, diagnostics and prognostics / Xiaofeng Zhou ... [et al.] Gene expression profiling of the leukemias : oncogenesis, drug responsiveness, and prediction of clinical outcome / Lars Bullinger, Hartmut Dohner, and Jonathon R. Pollack Personalized medicine in the clinical management of colorectal cancer / Anthony El-Khoueiry and Heinz Josef Lenz PIK3CA gene alterations in human cancers / Sérgia Velho, Carla Oliveira, and Raquel Seruca. Front Matter....Pages 1-9 The Emergence of Bioinformatics: Historical Perspective, Quick Overview and Future Trends....Pages 1-11 The Statistical Design and Interpretation of Microarray Experiments....Pages 1-11 Whole-Genome Analysis of Cancer....Pages 1-30 Bioinformatics Approaches to the Analysis of the Transcriptome of Animal Models of Cancer....Pages 1-22 Significance of Aberrant Expression of MicroRNAs in Cancer Cells....Pages 1-12 Proteomic Methods in Cancer Research....Pages 1-27 Comprehensive Genomic Profiling for Biomarker Discovery for Cancer Detection, Diagnostics and Prognostics....Pages 1-17 Gene Expression Profiling of the Leukemias: Oncogenesis, Drug Responsiveness, and Prediction of Clinical Outcome....Pages 1-19 Personalized Medicine in the Clinical Management of Colorectal Cancer....Pages 1-18 PIK3CA Gene Alterations in Human Cancers....Pages 1-20 Back Matter....Pages 1-6 "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, edited by Gavin Gordon, provides an historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments in order 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."--BOOK JACKET 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. Bioinformatics can be defined as the collection, classification, storage, and analysis of biochemical and biological information using computers and mathematical algorithms. This book provides a historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments This book shows how a bioinformatics approach has been used to characterize various cancer-related processes. It provides a historical and technical perspective on the analytical techniques, methodologies, and platforms used in bioinformatics experiments.