Cross-platform ultradeep transcriptomic profiling of human reference RNA samples by RNA-Seq. Academic Article uri icon

Overview

abstract

  • Whole-transcriptome sequencing ('RNA-Seq') has been drastically changing the scale and scope of genomic research. In order to fully understand the power and limitations of this technology, the US Food and Drug Administration (FDA) launched the third phase of the MicroArray Quality Control (MAQC-III) project, also known as the SEquencing Quality Control (SEQC) project. Using two well-established human reference RNA samples from the first phase of the MAQC project, three sequencing platforms were tested across more than ten sites with built-in truths including spike-in of external RNA controls (ERCC), titration data and qPCR verification. The SEQC project generated over 30 billion sequence reads representing the largest RNA-Seq data ever generated by a single project on individual RNA samples. This extraordinarily ultradeep transcriptomic data set and the known truths built into the study design provide many opportunities for further research and development to advance the improvement and application of RNA-Seq.

publication date

  • August 26, 2014

Research

keywords

  • Gene Expression Profiling
  • RNA
  • Sequence Analysis, RNA
  • Transcriptome

Identity

PubMed Central ID

  • PMC4322577

Scopus Document Identifier

  • 84960872855

Digital Object Identifier (DOI)

  • 10.1038/nbt.2957

PubMed ID

  • 25977777

Additional Document Info

volume

  • 1