On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments.

ABSTRACT:

Background

In gene expression studies, RNA sample pooling is sometimes considered because of budget constraints or lack of sufficient input material. Using microarray technology, RNA sample pooling strategies have been reported to optimize both the cost of data generation as well as the statistical power for differential gene expression (DGE) analysis. For RNA sequencing, with its different quantitative output in terms of counts and tunable dynamic range, the adequacy and empirical validation of RNA sample pooling strategies have not yet been evaluated. In this study, we comprehensively assessed the utility of pooling strategies in RNA-seq experiments using empirical and simulated RNA-seq datasets.

Result

The data generating model in pooled experiments is defined mathematica

SUBMITTER: Takele Assefa A 

PROVIDER: S-EPMC7168886 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature