What Is A Positive Control
Download What Is A Positive Control PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get What Is A Positive Control book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Good Research Practice in Non-Clinical Pharmacology and Biomedicine
This open access book, published under a CC BY 4.0 license in the Pubmed indexed book series Handbook of Experimental Pharmacology, provides up-to-date information on best practice to improve experimental design and quality of research in non-clinical pharmacology and biomedicine.
Principles and Technical Aspects of PCR Amplification
Author: Elizabeth van Pelt-Verkuil
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-03-14
Kary Mullis was awarded a Nobel Prize for inventing the PCR technique more than a decade ago in 1993. Since its "discovery", multiple adaptations and variations of the standard PCR technique have been described. This publication aims to provide the reader with a guide to the standard PCR technique and its many available variants, with particular emphasis being placed on the role of these PCR techniques in the clinical diagnostic laboratory (the central theme of this book).
Optimal High-Throughput Screening
Author: Xiaohua Douglas Zhang
language: en
Publisher: Cambridge University Press
Release Date: 2011-02-21
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.