Back to Search Start Over

Uncertainty in RNA-seq gene expression data

Authors :
Eric C. Holland
Siobhan S. Pattwell
Hamid Bolouri
Sonali Arora
Publication Year :
2018
Publisher :
Cold Spring Harbor Laboratory, 2018.

Abstract

RNA-sequencing data is widely used to identify disease biomarkers and therapeutic targets. Here, using data from five RNA-seq processing pipelines applied to 6,690 human tumor and normal tissues, we show that for >12% of protein-coding genes, in at least 1% of samples, current best-in-class RNA-seq processing pipelines differ in their abundance estimates by more than four-fold using the same samples and the same set of RNA-seq reads, raising clinical concern.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....11525c2815c01f189869cbd79c4de58d
Full Text :
https://doi.org/10.1101/445601