Benchmarking of RNA-sequencing analysis workflows using whole-transcriptome RT-qPCR expression data

@inproceedings{Everaert2017BenchmarkingOR,
  title={Benchmarking of RNA-sequencing analysis workflows using whole-transcriptome RT-qPCR expression data},
  author={Celine Everaert and Manuel Luypaert and Jesper L. V. Maag and Quek Xiu Cheng and Marcel E. Dinger and Jan Hellemans and Pieter Mestdagh},
  booktitle={Scientific Reports},
  year={2017}
}
RNA-sequencing has become the gold standard for whole-transcriptome gene expression quantification. Multiple algorithms have been developed to derive gene counts from sequencing reads. While a number of benchmarking studies have been conducted, the question remains how individual methods perform at accurately quantifying gene expression levels from RNA-sequencing reads. We performed an independent benchmarking study using RNA-sequencing data from the well established MAQCA and MAQCB reference… CONTINUE READING
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