- recipe bioconductor-dyebias
The GASSCO method for correcting for slide-dependent gene-specific dye bias
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/dyebias.html
- License:
GPL-3
- Recipe:
- Links:
biotools: dyebias
Many two-colour hybridizations suffer from a dye bias that is both gene-specific and slide-specific. The former depends on the content of the nucleotide used for labeling; the latter depends on the labeling percentage. The slide-dependency was hitherto not recognized, and made addressing the artefact impossible. Given a reasonable number of dye-swapped pairs of hybridizations, or of same vs. same hybridizations, both the gene- and slide-biases can be estimated and corrected using the GASSCO method (Margaritis et al., Mol. Sys. Biol. 5:266 (2009), doi:10.1038/msb.2009.21)
- package bioconductor-dyebias¶
- versions:
1.62.0-0
,1.60.0-0
,1.58.0-0
,1.54.0-0
,1.52.0-0
,1.50.0-1
,1.50.0-0
,1.48.0-0
,1.46.0-0
,1.62.0-0
,1.60.0-0
,1.58.0-0
,1.54.0-0
,1.52.0-0
,1.50.0-1
,1.50.0-0
,1.48.0-0
,1.46.0-0
,1.44.0-1
,1.42.0-0
,1.40.0-0
,1.38.0-0
- depends bioconductor-biobase:
>=2.62.0,<2.63.0
- depends bioconductor-marray:
>=1.80.0,<1.81.0
- depends r-base:
>=4.3,<4.4.0a0
- requirements:
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-dyebias and update with:: mamba update bioconductor-dyebias
To create a new environment, run:
mamba create --name myenvname bioconductor-dyebias
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-dyebias:<tag> (see `bioconductor-dyebias/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-dyebias/README.html)