- 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:
1.24.0-0
,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
,1.24.0-0
,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
>=2.58.0,<2.59.0
bioconductor-biomart
>=2.54.0,<2.55.0
bioconductor-edger
>=3.40.0,<3.41.0
bioconductor-limma
>=3.54.0,<3.55.0
bioconductor-preprocesscore
>=1.60.0,<1.61.0
bioconductor-quantro
>=1.32.0,<1.33.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-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)