Buch, Englisch, Band 141, 382 Seiten, Previously published in hardcover, Format (B × H): 152 mm x 229 mm, Gewicht: 581 g
Buch, Englisch, Band 141, 382 Seiten, Previously published in hardcover, Format (B × H): 152 mm x 229 mm, Gewicht: 581 g
Reihe: Methods in Molecular Medicine
ISBN: 978-1-61737-781-5
Verlag: Humana Press
With the ever-increasing volume of information in clinical medicine, researchers and health professionals need computer-based storage, processing and dissemination. In this book, leading experts in the field provide a series of articles focusing on software applications used to translate information into outcomes of clinical relevance. This book is the perfect guide for researchers and clinical scientists working in this emerging "omics" era.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Molekulare Medizin, Zellbiologie
Weitere Infos & Material
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.- Microarrays—Planning Your Experiment.- Clinical Uses of Microarrays in Cancer Research.- Microarrays—Analysis of Signaling Pathways.- Microarrays—Identifying 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.
