- recipe bioconductor-dino
Normalization of Single-Cell mRNA Sequencing Data
- Homepage:
- License:
GPL-3
- Recipe:
Dino normalizes single-cell, mRNA sequencing data to correct for technical variation, particularly sequencing depth, prior to downstream analysis. The approach produces a matrix of corrected expression for which the dependency between sequencing depth and the full distribution of normalized expression; many existing methods aim to remove only the dependency between sequencing depth and the mean of the normalized expression. This is particuarly useful in the context of highly sparse datasets such as those produced by 10X genomics and other uninque molecular identifier (UMI) based microfluidics protocols for which the depth-dependent proportion of zeros in the raw expression data can otherwise present a challenge.
- package bioconductor-dino¶
-
- Versions:
1.4.0-0
,1.0.0-0
- Depends:
bioconductor-biocparallel
>=1.32.0,<1.33.0
bioconductor-biocsingular
>=1.14.0,<1.15.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
bioconductor-scran
>=1.26.0,<1.27.0
bioconductor-singlecellexperiment
>=1.20.0,<1.21.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-dino
and update with:
conda update bioconductor-dino
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-dino:<tag>
(see bioconductor-dino/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-dino/README.html)