Paket: r-bioc-edaseq (2.36.0+dfsg-1)

[ Källkod: r-bioc-edaseq  ]

GNU R exploratory data analysis and normalization for RNA-Seq

Numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010).

Andra paket besläktade med r-bioc-edaseq

• dep: r-api-4.0

  virtuellt paket som tillhandahålls av r-base-core

• dep: r-api-bioc-3.18

  virtuellt paket som tillhandahålls av r-bioc-biocgenerics

• dep: r-bioc-annotationdbi

  GNU R Annotation Database Interface for BioConductor

• dep: r-bioc-aroma.light

  BioConductor methods normalization and visualization of microarray data

• dep: r-bioc-biobase (>= 2.15.1)

  base functions for Bioconductor

• dep: r-bioc-biocgenerics

  generic functions for Bioconductor

• dep: r-bioc-biomart

  GNU R Interface to BioMart databases (Ensembl, COSMIC, Wormbase and Gramene)

• dep: r-bioc-biostrings

  GNU R string objects representing biological sequences

• dep: r-bioc-genomicfeatures

  GNU R tools for making and manipulating transcript centric annotations

• dep: r-bioc-genomicranges

  BioConductor representation and manipulation of genomic intervals

• dep: r-bioc-iranges (>= 1.13.9)

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

• dep: r-bioc-rsamtools (>= 1.5.75)

  GNU R binary alignment (BAM), variant call (BCF), or tabix file import

• dep: r-bioc-shortread (>= 1.11.42)

  GNU R classes and methods for high-throughput short-read sequencing data

• dep: r-cran-biocmanager

  access the Bioconductor project package repository

• sug: r-bioc-biocstyle

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-deseq2

  R package for RNA-Seq Differential Expression Analysis

• sug: r-bioc-edger

  Empirical analysis of digital gene expression data in R

• sug: r-cran-kernsmooth

  GNU R package for kernel smoothing and density estimation

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-testthat

  GNU R testsuite

Hämta r-bioc-edaseq

Hämtningar för alla tillgängliga arkitekturer

Arkitektur	Paketstorlek	Installerad storlek	Filer
all	376,3 kbyte	525,0 kbyte	[filförteckning]