Comprehensive comparative analysis of RNA sequencing methods for degraded or low input samples

@inproceedings{Adiconis2013ComprehensiveCA,
  title={Comprehensive comparative analysis of RNA sequencing methods for degraded or low input samples},
  author={Xian Adiconis and Diego Borges-Rivera and Rahul Satija and David S. DeLuca and Michele A. Busby and Aaron M. Berlin and Andrey Sivachenko and Dawn A Thompson and Alec Wysoker and Timothy Fennell and Andreas Gnirke and Nathalie Pochet and Aviv Regev and Joshua Z. Levin},
  booktitle={Nature Methods},
  year={2013}
}
RNA-seq is an effective method for studying the transcriptome, but it can be difficult to apply to scarce or degraded RNA from fixed clinical samples, rare cell populations or cadavers. Recent studies have proposed several methods for RNA-seq of low-quality and/or low-quantity samples, but the relative merits of these methods have not been systematically analyzed. Here we compare five such methods using metrics relevant to transcriptome annotation, transcript discovery and gene expression… CONTINUE READING

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