recipe bioconductor-proactiv

Estimate Promoter Activity from RNA-Seq data

Homepage:

https://bioconductor.org/packages/3.17/bioc/html/proActiv.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-proactiv/meta.yaml

Most human genes have multiple promoters that control the expression of different isoforms. The use of these alternative promoters enables the regulation of isoform expression pre-transcriptionally. Alternative promoters have been found to be important in a wide number of cell types and diseases. proActiv is an R package that enables the analysis of promoters from RNA-seq data. proActiv uses aligned reads as input, and generates counts and normalized promoter activity estimates for each annotated promoter. In particular, proActiv accepts junction files from TopHat2 or STAR or BAM files as inputs. These estimates can then be used to identify which promoter is active, which promoter is inactive, and which promoters change their activity across conditions. proActiv also allows visualization of promoter activity across conditions.

package bioconductor-proactiv

versions:

1.10.0-0,  1.8.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-2,  1.0.0-1

depends bioconductor-annotationdbi:

>=1.62.0,<1.63.0

depends bioconductor-biocparallel:

>=1.34.0,<1.35.0

depends bioconductor-deseq2:

>=1.40.0,<1.41.0

depends bioconductor-genomeinfodb:

>=1.36.0,<1.37.0

depends bioconductor-genomicalignments:

>=1.36.0,<1.37.0

depends bioconductor-genomicfeatures:

>=1.52.0,<1.53.0

depends bioconductor-genomicranges:

>=1.52.0,<1.53.0

depends bioconductor-iranges:

>=2.34.0,<2.35.0

depends bioconductor-s4vectors:

>=0.38.0,<0.39.0

depends bioconductor-summarizedexperiment:

>=1.30.0,<1.31.0

depends r-base:

>=4.3,<4.4.0a0

depends r-data.table:

depends r-dplyr:

depends r-ggplot2:

depends r-gplots:

depends r-rlang:

depends r-scales:

depends r-tibble:

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-proactiv

and update with::

   mamba update bioconductor-proactiv

To create a new environment, run:

mamba create --name myenvname bioconductor-proactiv

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-proactiv:<tag>

(see `bioconductor-proactiv/tags`_ for valid values for ``<tag>``)

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