Using mixtures of biological samples as process controls for RNA-sequencing experiments.

ABSTRACT:

Background

Genome-scale "-omics" measurements are challenging to benchmark due to the enormous variety of unique biological molecules involved. Mixtures of previously-characterized samples can be used to benchmark repeatability and reproducibility using component proportions as truth for the measurement. We describe and evaluate experiments characterizing the performance of RNA-sequencing (RNA-Seq) measurements, and discuss cases where mixtures can serve as effective process controls.

Results

We apply a linear model to total RNA mixture samples in RNA-seq experiments. This model provides a context for performance benchmarking. The parameters of the model fit to experimental results can be evaluated to assess bias and variability of the measurement of a mixture. A linear mode

SUBMITTER: Parsons J 

PROVIDER: S-EPMC4574543 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature