Bioinformatics in Cancer and Cancer Therapy by Gavin J. GordonBioinformatics in Cancer and Cancer Therapy by Gavin J. Gordon

Bioinformatics in Cancer and Cancer Therapy

EditorGavin J. Gordon

Paperback | December 14, 2011

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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.
Title:Bioinformatics in Cancer and Cancer TherapyFormat:PaperbackDimensions:208 pagesPublished:December 14, 2011Publisher:Humana PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1617377589

ISBN - 13:9781617377587

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Table of Contents

Table of Contents for Bioinformatics in Cancer and Cancer TherapyPrefaceChapter 1: The Emergence of Bioinformatics: Historical Perspective, Quick Overview and Future TrendsChristos A. Ouzounis Chapter 2: The Statistical Design and Interpretation of Microarray ExperimentsKevin K. Dobbin and Richard M. Simon Chapter 3: Whole Genome Analysis of CancerSteven A. Enkemann, James M. McLoughlin, Eric H. Jensen, and Timothy J. YeatmanChapter 4: Bioinformatics Approaches to the Analysis of the Transcriptome of Animal Models of CancerMark J. Hoenerhoff, Aleksandra A. Michalowska, Ting-Hu Qiu, and Jeffery E. Green Chapter 5: Significance of Aberrant Expression of MicroRNAs in Cancer CellsGeorge A. Calin, Chang-gong Liu, Manuela Ferracin, Stefano Volinia, Massimo Negrini, and Carlo M. Croce Chapter 6: Proteomic Methods in Cancer ResearchScot Weinberger and Egisto Boschetti Chapter 7: Comprehensive Genomic Profiling for Biomarker Discovery for Cancer Detection, Diagnostics and PrognosticsXiaofeng Zhou, Nagesh P. Rao, Steven W. Cole, and David T. Wong Chapter 8: Gene Expression Profiling of the Leukemias: Oncogenesis, Drug Responsiveness, and Prediction of Clinical OutcomeLars Bullinger, Hartmut Dohner, and Jonathan R. Pollack Chapter 9: Personalized Medicine in the Clinical Management of Colorectal CancerAnthony El-Khoueiry and Heinz Josef Lenz Chapter 10: PIK3CA Gene Alterations in Human CancersSérgia Velho, Carla Oliveira, and Raquel Seruca