In this volume of the Methods in Molecular Medicine, a number of strategies utilizing clinical bioinformatics are described. This series of articles focuses on software applications that can be used to translate information into outcomes of clinical relevance. Step-by-step instructions ensure successful results. The themes covered include gene discovery, gene function (microarrays), DNA mutation analysis, Proteomics, online approaches and resources, and Informatics in clinical practice. A challenge in clinical medicine is dealing with an ever increasing volume of information. This is particularly so in the emerging "omics" era, and impacts on researchers, health professionals and the broader community. To respond to this challenge requires computer-based storage, processing and dissemination i.e. bioinformatics.

Step-by-step instructions that ensure successful results Tricks of the trade and notes on troubleshooting and avoiding known pitfalls

Klappentext

With the ever-increasing volume of information in clinical medicine, researchers and health professionals need computer-based storage, processing and dissemination. In Clinical Bioinformatics , leading experts in the field provide a series of articles focusing on software applications used to translate information into outcomes of clinical relevance. Covering such topics as gene discovery, gene function (microarrays), DNA mutation analysis, proteomics, online approaches and resources, and informatics in clinical practice, this volume concisely yet thoroughly explores its cutting edge subject.

In this emerging "omics" era, Clinical Bioinformatics is the perfect guide for researchers and clinical scientists to unlock the complex, dense, and ever-growing accumulation of medical information.

Inhalt
In Silico Gene Discovery.- Whole Genome-Wide Association Study Using Affymetrix SNP Chip: A Two-Stage Sequential Selection Method to Identify Genes That Increase the Risk of Developing Complex Diseases.- Utilizing HapMap and Tagging SNPs.- Measuring the Effects of Genes and Environment on Complex Traits.- MicroarraysPlanning Your Experiment.- Clinical Uses of Microarrays in Cancer Research.- MicroarraysAnalysis of Signaling Pathways.- MicroarraysIdentifying Molecular Portraits for Prostate Tumors with Different Gleason Patterns.- Microarrays for the Study of Viral Gene Expression During Human Cytomegalovirus Latent Infection.- Computer-Assisted Reading of DNA Sequences.- Evaluating DNA Sequence Variants of Unknown Biological Significance.- Developing a DNA Variant Database.- Protein Comparative Sequence Analysis and Computer Modeling.- Identification and Characterization of Microbial Proteins Using Peptide Mass Fingerprinting Strategies.- Statistical Analysis of Image Data Provided by Two-Dimensional Gel Electrophoresis for Discovery Proteomics.- Online Resources for the Molecular Contextualization of Disease.- Web-Based Resources for Clinical Bioinformatics.- Developing Decision Support Systems in Clinical Bioinformatics.- eConsulting.