Assists users with the reconstruction of transcription elongation rates from sawtooth-like observations derived from total RNA-seq. PolSter is a Bayesian framework that relies on a state space representation describing a mathematical relationship between the observed read density and the spatially varying elongation rates. This method was tested using published total RNA-seq data derived from mouse embryonic stem (ES) cells.
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