Bioinformatics in Cancer and Cancer Therapy

 Buch
Sofort lieferbar | Lieferzeit:3-5 Tage I
ISBN-13:
9781588297532
Einband:
Buch
Erscheinungsdatum:
01.12.2008
Seiten:
192
Autor:
Gavin J. Gordon
Gewicht:
611 g
Format:
268x197x20 mm
Serie:
Cancer Drug Discovery and Development
Sprache:
Englisch
Beschreibung:

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.
InhaltsangabeTable of Contents for Bioinformatics in Cancer and Cancer Therapy Preface Chapter 1: The Emergence of Bioinformatics: Historical Perspective, Quick Overview and Future Trends Christos A. Ouzounis Chapter 2: The Statistical Design and Interpretation of Microarray Experiments Kevin K. Dobbin and Richard M. Simon Chapter 3: Whole Genome Analysis of Cancer Steven A. Enkemann, James M. McLoughlin, Eric H. Jensen, and Timothy J. Yeatman Chapter 4: Bioinformatics Approaches to the Analysis of the Transcriptome of Animal Models of Cancer Mark J. Hoenerhoff, Aleksandra A. Michalowska, Ting-Hu Qiu, and Jeffery E. Green Chapter 5: Significance of Aberrant Expression of MicroRNAs in Cancer Cells George A. Calin, Chang-gong Liu, Manuela Ferracin, Stefano Volinia, Massimo Negrini, and Carlo M. Croce Chapter 6: Proteomic Methods in Cancer Research Scot Weinberger and Egisto Boschetti Chapter 7: Comprehensive Genomic Profiling for Biomarker Discovery for Cancer Detection, Diagnostics and Prognostics Xiaofeng 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 Outcome Lars Bullinger, Hartmut Dohner, and Jonathan R. Pollack Chapter 9: Personalized Medicine in the Clinical Management of Colorectal Cancer Anthony ElKhoueiry and Heinz Josef Lenz Chapter 10: PIK3CA Gene Alterations in Human Cancers Sérgia Velho, Carla Oliveira, and Raquel Seruca
Table of Contents for Bioinformatics in Cancer and Cancer Therapy Preface Chapter 1: The Emergence of Bioinformatics: Historical Perspective, Quick Overview and Future Trends Christos A. Ouzounis Chapter 2: The Statistical Design and Interpretation of Microarray Experiments Kevin K. Dobbin and Richard M. Simon Chapter 3: Whole Genome Analysis of Cancer Steven A. Enkemann, James M. McLoughlin, Eric H. Jensen, and Timothy J. Yeatman Chapter 4: Bioinformatics Approaches to the Analysis of the Transcriptome of Animal Models of Cancer Mark J. Hoenerhoff, Aleksandra A. Michalowska, Ting-Hu Qiu, and Jeffery E. Green Chapter 5: Significance of Aberrant Expression of MicroRNAs in Cancer Cells George A. Calin, Chang-gong Liu, Manuela Ferracin, Stefano Volinia, Massimo Negrini, and Carlo M. Croce Chapter 6: Proteomic Methods in Cancer Research Scot Weinberger and Egisto Boschetti Chapter 7: Comprehensive Genomic Profiling for Biomarker Discovery for Cancer Detection, Diagnostics and Prognostics Xiaofeng 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 Outcome Lars Bullinger, Hartmut Dohner, and Jonathan R. Pollack Chapter 9: Personalized Medicine in the Clinical Management of Colorectal Cancer Anthony El-Khoueiry and Heinz Josef Lenz Chapter 10: PIK3CA Gene Alterations in Human Cancers Sérgia Velho, Carla Oliveira, and Raquel Seruca
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.

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