Gordon Bioinformatics in Cancer and Cancer Therapy

2009
ISBN: 978-1-59745-576-3
Verlag: Humana Press
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 198 Seiten, eBook

Reihe: 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, , 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.

Zielgruppe

Research

Autoren/Hrsg.

Gordon, Gavin J.

Inhaltsverzeichnis

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