GRO-seq Analysis Pipeline

 This BioConductor package provides a pipeline for the analysis of GRO-
 seq data. Among the more advanced features, r-bioc-grohmm predicts the
 boundaries of transcriptional activity across the genome de novo using a
 two-state hidden Markov model (HMM).
 .
 The used model essentially divides the genome into transcribed and non-
 transcribed regions in a strand specific manner. HMMs are used to
 identify the leading edge of Pol II at genes activated by a stimulus in
 GRO-seq time course data. This approach allows the genome-wide
 interrogation of transcription rates in cells.