Пакет: r-bioc-grohmm (1.24.0-1)

[ Источник: 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.

Другие пакеты, относящиеся к r-bioc-grohmm

• dep: libc6 (>= 2.4)

  библиотека GNU C: динамически подключаемые библиотеки
  также виртуальный пакет, предоставляемый libc6-udeb

• dep: r-api-4.0

  виртуальный пакет, предоставляемый r-base-core

• dep: r-api-bioc-3.12

  виртуальный пакет, предоставляемый 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

Загрузка r-bioc-grohmm

Загрузить для всех доступных архитектур

Архитектура	Размер пакета	В установленном виде	Файлы
mipsel	4 330,4 Кб	4 497,0 Кб	[список файлов]