Bookedited by Robert T. Gerlai.
Summary: Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing. Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists.
Contents:
Section I. Neuroinformatics, Computational Models and Data Analysis
Section II. Searching for New Genes: Natural Genetic Variation
Section III. Discovery of New Genes and New Functions of Genes Using Gene Expression Analyses
Section IV. Discovery of Genes and Biological Mechanisms: Forward Genetics and Other Screening-Based Methods
Section V. Manipulating Known Genes to Understand Biological Function: Reverse Genetics
Section VI. Ethical Considerations.