Rigor And Reproducibility In Genetics And Genomics PDF
It is an amazing Medical book written by Anonim and published by Academic Press. This book was released on 01 July 2021 with total pages 472. Read book in PDF, EPUB and Kindle directly from your devices anywhere anytime. Click Download button to get Rigor and Reproducibility in Genetics and Genomics book now. This site is like a library, Use search box to get ebook that you want.
- Author : Anonim
- Release Date : 01 July 2021
- Publisher : Academic Press
- Genre : Medical
- Pages : 472
- ISBN 13 : 9780128172193
- Total Download : 292
- File Size : 42,9 Mb
Rigor and Reproducibility in Genetics and Genomics PDF Summary
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. Provides practical approaches and step-by-step protocols to strengthen genetic and genomic research conducted in the lab or classroom Through illustrative case studies and training exercises, discusses common pitfalls and solutions for genotyping, gene expression analysis, epigenetic analysis, GWAS, EWAS, genomic sequencing, and gene editing, among other genetic and genomic approaches Specifically examines best practices for microarray analysis, DNA-seq, RNA-seq, gene expression validation, Chip-Seq, methyl-seq, CRISPR gene editing, and CRISPR-based genetic analysis