套件：r-bioc-grohmm（1.24.0-1）

[ 原始碼： 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.

其他與 r-bioc-grohmm 有關的套件

• dep: libc6 (>= 2.14) [amd64]

  GNU C 函式庫：共用函式庫
  同時作為一個虛擬套件由這些套件填實： libc6-udeb

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

  dep: libc6 (>= 2.4) [除 amd64, arm64, ppc64el]

• dep: r-api-4.0

  本虛擬套件由這些套件填實： r-base-core

• dep: r-api-bioc-3.12

  本虛擬套件由這些套件填實： r-bioc-biocgenerics

• dep: r-base-core (>= 4.0.3-1)

  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)

  BioConductor representation and manipulation of short genomic alignments

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

  BioConductor representation and manipulation of genomic intervals

• dep: r-bioc-iranges (>= 2.13.12)

  GNU R low-level containers for storing sets of integer ranges

• 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

  GNU R package of Venables and Ripley's MASS

• 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

下載 r-bioc-grohmm

下載可用於所有硬體架構的

硬體架構	套件大小	安裝後大小	檔案
amd64	4，332。7 kB	4，503。0 kB	[檔案列表]
arm64	4，330。2 kB	4，491。0 kB	[檔案列表]
armel	4，330。7 kB	4，494。0 kB	[檔案列表]
armhf	4，328。2 kB	4，478。0 kB	[檔案列表]
i386	4，333。7 kB	4，502。0 kB	[檔案列表]
mips64el	4，330。3 kB	4，498。0 kB	[檔案列表]
mipsel	4，330。4 kB	4，497。0 kB	[檔案列表]
ppc64el	4，335。6 kB	4，511。0 kB	[檔案列表]
s390x	4，330。9 kB	4，499。0 kB	[檔案列表]