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Inclusive and efficient quantification of labeling and splicing RNAs for time-resolved metabolic labeling based scRNA-seq experiments

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aristoteleo/dynast-release

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Dynast: Inclusive and efficient quantification of labeling and splicing RNAs for time-resolved metabolic labeling based scRNA-seq experiments

Getting started - Pipeline usage - Technical information - Full documentation

Dynast is a command-line pipeline that preprocesses data from metabolic labeling scRNA-seq experiments and quantifies the following four mRNA species: unlabeled unspliced, unlabeled spliced, labeled unspliced and labeled spliced. In addition, dynast can perform statistical estimation of these species through expectation maximization (EM) and Bayesian inference.

Key features

  • Novel consensus-calling algorithm to identify the most probable base at each sequenced position.
  • Complete quantification of labeling and splicing of RNA.
    • Unlabeled unspliced, unlabeled spliced, labeled unspliced, labeled spliced species quantification.
    • Highly paralellized and optimized pipeline procedures.
  • Statistical estimation procedure that corrects the observed unlabeled and labeled counts via a Bayesian inference framework.