The discovery potential of RNA processing profiles

@article{Pags2017TheDP,
  title={The discovery potential of RNA processing profiles},
  author={Amad{\'i}s Pag{\`e}s and Iv{\'a}n Dot{\'u} and Joan Pallar{\`e}s-Albanell and Eul{\`a}lia Mart{\'i} and Roderic Guig{\'o} and Eduardo Eyras},
  journal={Nucleic Acids Research},
  year={2017},
  volume={46},
  pages={e15 - e15}
}
Small non-coding RNAs are highly abundant molecules that regulate essential cellular processes and are classified according to sequence and structure. Here we argue that read profiles from size-selected RNA sequencing capture the post-transcriptional processing specific to each RNA family, thereby providing functional information independently of sequence and structure. We developed SeRPeNT, the first unsupervised computational method that exploits reproducibility across replicates and uses… 

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