Modeling bias and variation in the stochastic processes of small RNA sequencing

@article{Argyropoulos2017ModelingBA,
  title={Modeling bias and variation in the stochastic processes of small RNA sequencing},
  author={Christos P. Argyropoulos and Alton Etheridge and Nikita A. Sakhanenko and David J. Galas},
  journal={Nucleic Acids Research},
  year={2017},
  volume={45},
  pages={e104 - e104}
}
Abstract The use of RNA-seq as the preferred method for the discovery and validation of small RNA biomarkers has been hindered by high quantitative variability and biased sequence counts. In this paper we develop a statistical model for sequence counts that accounts for ligase bias and stochastic variation in sequence counts. This model implies a linear quadratic relation between the mean and variance of sequence counts. Using a large number of sequencing datasets, we demonstrate how one can… 

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