Rigor And Reproducibility In Genetics And Genomics : Peer Reviewed , Published , Cited (Original PDF From Publisher)

Rigor And Reproducibility In Genetics And Genomics : Peer Reviewed , Published , Cited (Original PDF From Publisher)

By George P. Patrinos (Author) 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 laboratory or

classroomPresents illustrative case studies and training exercises, discussing common pitfalls and solutions for genotyping, gene

expression analysis, epigenetic analysis, GWAS, genomic sequencing and gene editing, among other genetic and genomic

approachesExamines best practices for microarray analysis, DNA-seq, RNA-seq, gene expression validation, Chip-Seq, methyl-seq,

CRISPR gene editing and CRISPR-based genetic analysisWritten to provide trainees and educators with highly applicable tools and

strategies to learn or refine a method toward identifying meaningful results with high confidence in their reproducibility.