recipe bioconductor-fraser

Find RAre Splicing Events in RNA-Seq Data

Homepage

https://bioconductor.org/packages/3.14/bioc/html/FRASER.html

License

MIT + file LICENSE

Recipe

/bioconductor-fraser/meta.yaml

Links

https: :https:`//doi.org/10.1038/s41467-020-20573-7`

Detection of rare aberrant splicing events in transcriptome profiles. The workflow aims to assist the diagnostics in the field of rare diseases where RNA-seq is performed to identify aberrant splicing defects.

package bioconductor-fraser

Versions

1.6.1-0,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.1-1,  1.2.1-0,  1.2.0-0,  1.0.1-0,  1.0.0-0

Depends

• bioconductor-annotationdbi >=1.56.0,<1.57.0

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-biomart >=2.50.0,<2.51.0

• bioconductor-bsgenome >=1.62.0,<1.63.0

• bioconductor-delayedarray >=0.20.0,<0.21.0

• bioconductor-delayedmatrixstats >=1.16.0,<1.17.0

• bioconductor-genomeinfodb >=1.30.0,<1.31.0

• bioconductor-genomicalignments >=1.30.0,<1.31.0

• bioconductor-genomicfeatures >=1.46.0,<1.47.0

• bioconductor-genomicranges >=1.46.0,<1.47.0

• bioconductor-hdf5array >=1.22.0,<1.23.0

• bioconductor-iranges >=2.28.0,<2.29.0

• bioconductor-outrider >=1.12.0,<1.13.0

• bioconductor-pcamethods >=1.86.0,<1.87.0

• bioconductor-rhdf5 >=2.38.0,<2.39.0

• bioconductor-rsamtools >=2.10.0,<2.11.0

• bioconductor-rsubread >=2.8.0,<2.9.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=10.3.0

• r-base >=4.1,<4.2.0a0

• r-bbmisc

• r-cowplot

• r-data.table

• r-extradistr

• r-generics

• r-ggplot2

• r-ggrepel

• r-matrixstats

• r-pheatmap

• r-plotly

• r-prroc

• r-r.utils

• r-rcolorbrewer

• r-rcpp

• r-rcpparmadillo

• r-tibble

• r-vgam

Required By

• drop

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-fraser

and update with:

conda update bioconductor-fraser

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-fraser:<tag>

(see bioconductor-fraser/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

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