Optimal High-Throughput Screening

Erscheinungsjahr 2011
ISBN: 978-0-521-73444-8
Verlag: Cambridge University Press

Buch, Englisch, 224 Seiten, Paperback, Format (B × H): 178 mm x 254 mm, Gewicht: 456 g

This concise, self-contained and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing and statistics, the author explains experimental designs and analytic methods that are amenable to rigorous analysis and interpretation of RNAi HTS experiments. The opening chapters are carefully presented to be accessible both to biologists with training only in basic statistics and to computational scientists and statisticians with basic biological knowledge. Biologists will see how new experiment designs and rudimentary data-handling strategies for RNAi HTS experiments can improve their results, whereas analysts will learn how to apply recently developed statistical methods to interpret HTS experiments.

Autoren/Hrsg.

Zhang, Xiaohua Douglas

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Präventivmedizin, Gesundheitsförderung, Medizinisches Screening
• Mathematik | Informatik EDV | Informatik Technische Informatik Quantencomputer, DNA-Computing
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Naturwissenschaften Biowissenschaften Biowissenschaften Genetik und Genomik (nichtmedizinisch)

Inhaltsverzeichnis

Part I. RNAi HTS and Data Analysis: 1. Introduction to genome-scale RNAi research; 2. Experimental designs; 3. Data display and normalization; 4. Quality control in genome-scale RNAi screens; 5. Hit selection in genome-scale RNAi screens without replicates; 6. Hit selection in genome-scale RNAi screens with replicates; Part II. Methodological Development for Analyzing RNAi HTS Screens: 7. Statistical methods for group comparison; 8. Statistical methods for assessing the size of siRNA effects.

Über Autor(innen)

Zhang, Xiaohua Douglas
Dr Xiaohua Douglas Zhang is an associate director at Merck Research Laboratories. He has worked on data analysis for genome-wide RNAi research and microarrays in drug discovery and development for various diseases for many years. He has continuously developed novel analytic methods and experimental designs for quality control and hit selection in genome-scale RNAi research. He and his colleagues have published many papers in various peer-reviewed journals, including Cell Host and Microbe, Nucleic Acids Research, Bioinformatics, Genetic Epidemiology, the Journal of Biological Chemistry, Pharmacogenomics, Genomics and the Journal of Biomolecular Screening, among many others.

Dr. Xiaohua Douglas Zhang is an associate director at Merck Research Laboratories. He has worked on data analysis for genome-wide RNAi research and microarrays in drug discovery and development for various diseases for many years. He has continuously developed novel analytic methods and experimental designs for quality control and hit selection in genome-scale RNAi research. He and his colleagues have published many papers in various peer-reviewed journals, including Cell Host & Microbe, Nucleic Acids Research, Bioinformatics, Genetic Epidemiology, Journal of Biological Chemistry, Pharmacogenomics, Genomics, and Journal of Biomolecular Screening, among many others.