- recipe bioconductor-yarn
YARN: Robust Multi-Condition RNA-Seq Preprocessing and Normalization
- Homepage
- License
Artistic-2.0
- Recipe
- Links
biotools: yarn, doi: 10.1101/086587
Expedite large RNA-Seq analyses using a combination of previously developed tools. YARN is meant to make it easier for the user in performing basic mis-annotation quality control, filtering, and condition-aware normalization. YARN leverages many Bioconductor tools and statistical techniques to account for the large heterogeneity and sparsity found in very large RNA-seq experiments.
- package bioconductor-yarn¶
-
- Versions
1.20.0-0
,1.18.0-0
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.8.0-0
,1.6.0-0
,1.20.0-0
,1.18.0-0
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.8.0-0
,1.6.0-0
,1.4.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biomart
>=2.50.0,<2.51.0
bioconductor-edger
>=3.36.0,<3.37.0
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-preprocesscore
>=1.56.0,<1.57.0
bioconductor-quantro
>=1.28.0,<1.29.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-yarn
and update with:
conda update bioconductor-yarn
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-yarn:<tag>
(see bioconductor-yarn/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-yarn/README.html)