Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research

個数:1
紙書籍版価格
¥38,931
  • 電子書籍
  • ポイントキャンペーン

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research

  • 著者名:Gerlai, Robert T. (EDT)
  • 価格 ¥32,848 (本体¥29,862)
  • Academic Press(2018/04/24発売)
  • 春うらら!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~3/15)
  • ポイント 8,940pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9780128040782
  • eISBN:9780128041161

ファイル: /

Description

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.- Focuses on new techniques, including electrocorticography, functional mapping, stereo EEG, motor evoked potentials, optical coherence tomography, magnetoencephalography, laser evoked potentials, transmagnetic stimulation, and motor evoked potentials- Presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior- Written and edited by leading international experts

Table of Contents

Section I: Neuroinformatics, Computational Models and Data Analysis1. Neurological Biomarkers and NeuroInformatics: The Role of The Virtual Brain2. Informatics for Interoperability of Molecular-Genetic and Neurobehavioral Databases3. The Allen Brain Atlas: Towards understanding brain behavior and function through data acquisition, visualization, analysis and integration4. ExAtlas: On-line tool to integrate gene expression and gene set enrichment analyses 5. Computational Models: How do they help to understand neurological diseases?6. The Use of Recombinant Inbred Strains in Systems Genetics and Functional Analyses in Behavioral Pharmacology Section II. Searching for New Genes: Natural Genetic Variation7. Spontaneous versus induced mutations: Conceptual and methodological considerations for the neurobehavioral geneticist8. Reduced complexity cross design for behavioral genetics9. Collaborative Cross as the next-generation mouse genetic reference population designed for dissecting complex traits10. Discovery of novel genes and other lineage-specific features through comparative genomics11. Using signatures of directional selection to guide discoverySection III: Discovery of New Genes and New Functions of Genes Using Gene Expression Analyses12. Using Transcriptomics to Study Behavior13. Genes, Behavior and Next-Generation Sequencing – The First Ten Years14. Abnormal social behaviors and dysfunction of autism-related genes associated with daily agonistic interactions in mice15. Epigenetic mechanisms of learning and memory Section IV: Discovery of Genes and Biological Mechanisms: Forward Genetics and Other Screening-Based Methods16. Systematic screens in zebrafish shed light on cellular and molecular mechanisms of complex brain phenotypes17. The transition of zebrafish functional genetics from random mutagenesis to targeted integrationSection V: Manipulating Known Genes to Understand Biological Function: Reverse Genetics18. Molecular Techniques Used to Explore Glutamate Receptors in Synaptic Plasticity and Memory19. Using Herpes Simplex Virus Type-1-Based Amplicon Vectors for Neuroscience Research and Gene Therapy of Neurological Diseases20. Cre-lox neurogenetics: history, present and future 21. Functional Analysis of Proteins Involved in Neurodegeneration Using the Model Organism Dictyostelium: Alzheimer's, Huntington's and Batten Disease 22. The role of human endogenous retroviruses (HERVs) in the pathologies of nervous system23. Optogenetics dissection of sleep circuits and functions24. The use of DREADDs for dissecting the contribution of cellular and neural circuit mechanisms in models of neurodegenerative diseaseSection VI: Ethical Considerations25. Genes and human behavior: Ethical implications26. Ethical Considerations for Animal use in Behavioral and Neural Research 

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