- recipe bioconductor-compcoder
RNAseq data simulation, differential expression analysis and performance comparison of differential expression methods
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/compcodeR.html
- License:
GPL (>= 2)
- Recipe:
This package provides extensive functionality for comparing results obtained by different methods for differential expression analysis of RNAseq data. It also contains functions for simulating count data. Finally, it provides convenient interfaces to several packages for performing the differential expression analysis. These can also be used as templates for setting up and running a user-defined differential analysis workflow within the framework of the package.
- package bioconductor-compcoder¶
- versions:
1.38.0-0
,1.36.2-0
,1.34.0-0
,1.30.0-0
,1.28.0-0
,1.26.1-0
,1.26.0-0
,1.24.0-0
,1.22.0-0
,1.38.0-0
,1.36.2-0
,1.34.0-0
,1.30.0-0
,1.28.0-0
,1.26.1-0
,1.26.0-0
,1.24.0-0
,1.22.0-0
,1.20.0-1
,1.20.0-0
,1.18.1-0
,1.18.0-0
- depends bioconductor-edger:
>=4.0.0,<4.1.0
- depends bioconductor-limma:
>=3.58.0,<3.59.0
- depends r-ape:
- depends r-base:
>=4.3,<4.4.0a0
- depends r-catools:
- depends r-ggplot2:
- depends r-gplots:
- depends r-gtools:
- depends r-kernsmooth:
- depends r-knitr:
>=1.2
- depends r-lattice:
>=0.16
- depends r-markdown:
- depends r-mass:
- depends r-matrixstats:
- depends r-modeest:
- depends r-phylolm:
- depends r-rmarkdown:
- depends r-rocr:
- depends r-shiny:
- depends r-shinydashboard:
- depends r-sm:
- depends r-stringr:
- depends r-vioplot:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-compcoder and update with:: mamba update bioconductor-compcoder
To create a new environment, run:
mamba create --name myenvname bioconductor-compcoder
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-compcoder:<tag> (see `bioconductor-compcoder/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-compcoder/README.html)