Ontology highlight
ABSTRACT: Background
The increasing number of transcriptomic datasets has allowed for meta-analyses, which can be valuable due to their increased statistical power. However, meta-analyses can be confounded by so-called "batch effects," where technical variation across different batches of RNA-seq experiments can clearly produce spurious signals of differential expression and reduce our power to detect true differences. While batch effects can sometimes be accounted for, albeit with caveats, a better strategy is to understand their sources to better avoid them. In this study, we examined the effects of RNA isolation method as a possible source of batch effects in RNA-seq design.Results
Based on the different chemistries of "classic" hot phenol extraction of RNA compared to common comm
SUBMITTER: Scholes AN
PROVIDER: S-EPMC7082934 | biostudies-literature | 2020 Mar
REPOSITORIES: biostudies-literature