Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequence Quality Control consortium


ABSTRACT: We present primary results from the Sequencing Quality Control (SEQC) project, coordinated by the United States Food and Drug Administration. Examining Illumina HiSeq, Life Technologies SOLiD and Roche 454 platforms at multiple laboratory sites using reference RNA samples with built-in controls, we assess RNA sequencing (RNA-seq) performance for sequence discovery and differential expression profiling and compare it to microarray and quantitative PCR (qPCR) data using complementary metrics. At all sequencing depths, we discover unannotated exon-exon junctions, with >80% validated by qPCR. We find that measurements of relative expression are accurate and reproducible across sites and platforms if specific filters are used. In contrast, RNA-seq and microarrays do not provide accurate absolut

ORGANISM(S): Homo sapiens

SUBMITTER: Leming Shi 

PROVIDER: E-GEOD-56457 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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