24 Reproducibility Assessment of the SEQC Sequencing Project

Lianbo Yu First Author
The Ohio State University
 
Lianbo Yu Presenting Author
The Ohio State University
 
Monday, Aug 5: 2:00 PM - 3:50 PM
2630 
Contributed Posters 
Oregon Convention Center 
With the widespread RNA-seq applications of different sequencing platforms in biomedical science research in recent years, a systematic evaluation of RNA-seq data quality is crucial and timely. The Sequencing Quality Control (SEQC) project is a large-scale community effort for assessing the performance of RNA-seq technology across different platforms and multiple laboratories, where reference RNA samples with multiple replicates were sequenced at twelve laboratories using three sequencing platforms. Different from the SEQC project, we performed an independent and comprehensive analysis of RNA-seq data of the SEQC project to assess sequencing reproducibility across platforms, sequencing sites, sample replicates, and FlowCells respectively. With the employment of graphical tools and statistical models, our systemic analysis supports a distinctive conclusion that reproducibility across platforms and sequencing sites are not acceptable, while reproducibility across sample replicates and FlowCells are acceptable.

Keywords

SEQC

Reproducibility 

Abstracts


Main Sponsor

Biometrics Section