Pakket: r-bioc-grohmm (1.40.3-2 en anderen)

[ Bron: r-bioc-grohmm  ]

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.

Andere aan r-bioc-grohmm gerelateerde pakketten

• dep: libc6 (>= 2.16) [x32]

  GNU C Bibliotheek: Gedeelde bibliotheken
  Ook een virtueel pakket geboden door: libc6-udeb

  dep: libc6 (>= 2.17) [arm64, ppc64el]

  dep: libc6 (>= 2.2) [hppa]

  dep: libc6 (>= 2.27) [riscv64]

  dep: libc6 (>= 2.37) [sh4]

  dep: libc6 (>= 2.4) [amd64, mips64el, ppc64, s390x]

  dep: libc6 (>= 2.40) [loong64]

• dep: libc6.1 (>= 2.1.3) [alpha]

  GNU C Bibliotheek: Gedeelde bibliotheken
  Ook een virtueel pakket geboden door: libc6.1-udeb

  dep: libc6.1 (>= 2.37) [ia64]

• dep: r-api-4.0

  virtueel pakket geboden door r-base-core

• dep: r-api-bioc-3.16 [x32]

  Pakket niet beschikbaar

• dep: r-api-bioc-3.18 [hppa, ia64, sh4]

  Pakket niet beschikbaar

• dep: r-api-bioc-3.20 [niet hppa, ia64, sh4, x32]

  virtueel pakket geboden door r-bioc-biocgenerics

• dep: r-base-core (>= 4.2.2.20221110-1) [x32]

  GNU R core of statistical computation and graphics system

• dep: r-bioc-genomeinfodb

  BioConductor utilities for manipulating chromosome identifiers

• dep: r-bioc-genomicalignments (>= 1.15.6)

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• dep: r-bioc-genomicranges (>= 1.31.8)

  BioConductor representation and manipulation of genomic intervals

• dep: r-bioc-iranges (>= 2.13.12)

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• dep: r-bioc-rtracklayer (>= 1.39.7)

  GNU R interface to genome browsers and their annotation tracks

• dep: r-bioc-s4vectors (>= 0.17.25)

  BioConductor S4 implementation of vectors and lists

• dep: r-cran-mass

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• sug: r-bioc-biocstyle

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-edger

  Empirical analysis of digital gene expression data in R

• sug: r-bioc-genomicfeatures

  GNU R tools for making and manipulating transcript centric annotations

• sug: r-bioc-org.hs.eg.db

  genome-wide annotation for Human

r-bioc-grohmm downloaden

Pakket downloaden voor alle beschikbare platforms

Platform	Versie	Pakketgrootte	Geïnstalleerde grootte	Bestanden
alpha (unofficial port)	1.40.3-2	4.350,6 kB	4.529,0 kB	[overzicht]
amd64	1.40.3-2	4.350,3 kB	4.521,0 kB	[overzicht]
arm64	1.40.3-2	4.348,4 kB	4.529,0 kB	[overzicht]
hppa (unofficial port)	1.36.0-1	4.343,5 kB	4.516,0 kB	[overzicht]
ia64 (unofficial port)	1.36.0-1	4.349,2 kB	4.558,0 kB	[overzicht]
loong64 (unofficial port)	1.40.3-2	4.349,4 kB	4.529,0 kB	[overzicht]
mips64el	1.40.3-2	4.348,4 kB	4.532,0 kB	[overzicht]
ppc64 (unofficial port)	1.40.3-2	4.354,0 kB	4.594,0 kB	[overzicht]
ppc64el	1.40.3-2	4.353,9 kB	4.529,0 kB	[overzicht]
riscv64	1.40.3-2	4.349,9 kB	4.505,0 kB	[overzicht]
s390x	1.40.3-2	4.351,5 kB	4.521,0 kB	[overzicht]
sh4 (unofficial port)	1.36.0-1	4.344,3 kB	4.522,0 kB	[overzicht]
x32 (unofficial port)	1.32.0-1	4.332,9 kB	4.498,0 kB	[overzicht]