Evaluation of Normalization Methods for RNA-Seq Gene Expression Estimation.

ABSTRACT: Statistical inferences on RNA-Seq data, e.g., detecting differential gene expression, are meaningful only after proper normalization. However, there is no consensus for choosing a normalization procedure from among the many existing procedures. We evaluated several RNA-Seq normalization procedures by (1) correlating estimated RNA-Seq expression values to those of microarrays, (2) examining the concordance of stable and differential gene detection between the platforms, and (3) applying the procedures to simulated RNA-Seq data. Results suggested that RNA-Seq normalization procedures have little effect on both inter-platform gene expression correlation as well as inter-platform concordance of genes detected as stably or differentially expressed. However, the results of simulated analysis sug

SUBMITTER: Wu PY 

PROVIDER: S-EPMC4983420 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature