Rigor and Reproducibility in Genetics and Genomics

Peer-Reviewed, Published, Cited
Herausgeber: Patrinos, George P

• Broschiertes Buch

Produktbeschreibung

Rigor and Reproducibility in Genetics and Genomics: Peer-reviewed, Published, Cited provides a full methodological and statistical overview for researchers, clinicians, students, and post-doctoral fellows conducting genetic and genomic research. Here, active geneticists, clinicians, and bioinformaticists offer practical solutions for a variety of challenges associated with several modern approaches in genetics and genomics, including genotyping, gene expression analysis, epigenetic analysis, GWAS, EWAS, genomic sequencing, and gene editing. Emphasis is placed on rigor and reproducibility throughout, with each section containing laboratory case-studies and classroom activities covering step-by-step protocols, best practices, and common pitfalls. Specific genetic and genomic technologies discussed include microarray analysis, DNA-seq, RNA-seq, Chip-Seq, methyl-seq, CRISPR gene editing, and CRISPR-based genetic analysis. Training exercises, supporting data, and in-depth discussions of rigor, reproducibility, and ethics in research together deliver a solid foundation in research standards for the next generation of genetic and genomic scientists.

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Produktdetails

• Translational and Applied Genomics
• Verlag: Elsevier Science Publishing Co Inc
• Seitenzahl: 502
• Erscheinungstermin: 9. November 2023
• Englisch
• Abmessung: 190mm x 237mm x 30mm
• Gewicht: 1032g
• ISBN-13: 9780128172186
• ISBN-10: 0128172185
• Artikelnr.: 60780105

Inhaltsangabe

SECTION 1 Introduction 1. Rigor and reproducibility in genetic research and
the effects on scientific reporting and public discourse 2. Unveiling the
hidden curriculum: Developing rigor and reproducibility values through
teaching and mentorship SECTION 2 Genotyping 3. Genome-wide association
studies (GWAS): hat are they, when to use them? 4. GWAS in the learning
environment 5. Polygenic risk scores and comparative genomics: Best
practices and statistical considerations 6. DNA sequencing and genotyping
in the classroom 7. Classroom to career: Implementation considerations for
engaging students with meaningful DNA sequencing learning opportunities
SECTION 3 Next-generation sequencing & gene expression 8. Review of gene
expression using microarray and RNA-seq 9. Guidelines and important
considerations for 'omics-level studies 10. Best practices for statistical
analysis of omics data 11. Validation of gene expression by quantitative
PCR SECTION 4 Epigenetic analyses 12. Best practices for epigenome-wide DNA
modification data collection and analysis 13. Best practices for the
ATAC-seq assay and its data analysis 14. Best practice for ChIP-seq and its
data analysis 15. A practical guide for essential analyses of Hi-C data 16.
Epigenetics in the classroom SECTION 5 Gene editing technologies 17. Genome
editing technologies 18. Genetic modification of mice using CRISPR-Cas9:
Best practices and practical concepts explained 19. CRISPR classroom
activities and case studies