Pakket: r-bioc-grohmm (1.40.3-1) [debports]

[ Bron:  ]

Experimenteel pakket

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

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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r-bioc-grohmm downloaden

Pakket downloaden voor alle beschikbare platforms

Platform	Pakketgrootte	Geïnstalleerde grootte	Bestanden
ppc64 (unofficial port)	4.353,7 kB	4.594,0 kB	[overzicht]