Reproducibility Assessment of the SEQC Sequencing Project

2630 

Contributed Abstract 

Poster 

Lianbo Yu (1)

(1) The Ohio State University, N/A

Lianbo Yu  
The Ohio State University

Lianbo Yu  
The Ohio State University

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.

SEQC|Reproducibility| | | |

Biometrics Section

Genomics, Metabolomics, Microbiome and NextGen Sequencing