Пакунок: r-bioc-grohmm (1.38.0-1)

[ Source: 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.

Інші пакунки пов'язані з r-bioc-grohmm

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

  Бібліотека GNU C: спільні бібліотеки
  also a virtual package provided by libc6-udeb

  dep: libc6 (>= 2.27) [riscv64]

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

• dep: r-api-4.0

  virtual package provided by r-base-core

• dep: r-api-bioc-3.19

  virtual package provided by 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

Завантажити r-bioc-grohmm

Завантаження для всіх доступних архітектур

Архітектура	Розмір пакунка	Розмір після встановлення	Файли
amd64	4,344.9 kB	4,515.0 kB	[список файлів]
arm64	4,342.8 kB	4,523.0 kB	[список файлів]
mips64el	4,342.9 kB	4,526.0 kB	[список файлів]
ppc64el	4,348.2 kB	4,523.0 kB	[список файлів]
riscv64	4,344.5 kB	4,499.0 kB	[список файлів]
s390x	4,346.0 kB	4,515.0 kB	[список файлів]