Package: r-bioc-grohmm (1.36.0-1) [debports]
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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.
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Download r-bioc-grohmm
Architecture | Package Size | Installed Size | Files |
---|---|---|---|
hppa (unofficial port) | 4,343.5 kB | 4,516.0 kB | [list of files] |