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Uncertainty in RNA-seq gene expression data
- 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.
- Subjects :
- 0303 health sciences
genetic processes
Normal tissue
020207 software engineering
RNA-Seq
02 engineering and technology
Computational biology
Biology
3. Good health
Human tumor
03 medical and health sciences
Gene expression
0202 electrical engineering, electronic engineering, information engineering
Disease biomarker
natural sciences
Gene
030304 developmental biology
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....11525c2815c01f189869cbd79c4de58d
- Full Text :
- https://doi.org/10.1101/445601