套件：r-bioc-grohmm（1.38.0-1）

[ 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 (>= 2.4)

  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: r-api-4.0

  本虛擬套件由這些套件填實： r-base-core

• dep: r-api-bioc-3.19

  本虛擬套件由這些套件填實： r-bioc-biocgenerics

• dep: r-bioc-genomeinfodb (>= 1.40.1)

  BioConductor utilities for manipulating chromosome identifiers

• dep: r-bioc-genomicalignments (>= 1.40.0)

  BioConductor representation and manipulation of short genomic alignments

• dep: r-bioc-genomicranges (>= 1.56.1)

  BioConductor representation and manipulation of genomic intervals

• dep: r-bioc-iranges (>= 2.38.1)

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

• dep: r-bioc-rtracklayer (>= 1.64.0)

  GNU R interface to genome browsers and their annotation tracks

• dep: r-bioc-s4vectors (>= 0.42.1)

  BioConductor S4 implementation of vectors and lists

• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• sug: r-bioc-biocstyle (>= 2.32.1)

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-edger (>= 4.2.1)

  Empirical analysis of digital gene expression data in R

• sug: r-bioc-genomicfeatures (>= 1.56.0)

  GNU R tools for making and manipulating transcript centric annotations

• sug: r-bioc-org.hs.eg.db (>= 3.19.1)

  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	4，344。9 kB	4，515。0 kB	[檔案列表]