recipe bioconductor-genomation

Summary, annotation and visualization of genomic data

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/genomation.html

License:

Artistic-2.0

Recipe:

/bioconductor-genomation/meta.yaml

Links:

biotools: genomation

A package for summary and annotation of genomic intervals. Users can visualize and quantify genomic intervals over pre-defined functional regions, such as promoters, exons, introns, etc. The genomic intervals represent regions with a defined chromosome position, which may be associated with a score, such as aligned reads from HT-seq experiments, TF binding sites, methylation scores, etc. The package can use any tabular genomic feature data as long as it has minimal information on the locations of genomic intervals. In addition, It can use BAM or BigWig files as input.

package bioconductor-genomation

(downloads) docker_bioconductor-genomation

versions:
1.34.0-11.34.0-01.32.0-01.30.0-11.30.0-01.26.0-21.26.0-11.26.0-01.24.0-0

1.34.0-11.34.0-01.32.0-01.30.0-11.30.0-01.26.0-21.26.0-11.26.0-01.24.0-01.22.0-11.22.0-01.20.0-01.18.0-01.16.0-11.14.0-01.12.0-01.10.0-01.8.0-01.6.0-11.6.0-01.4.2-01.2.2-0

depends bioconductor-biostrings:

>=2.70.0,<2.71.0

depends bioconductor-biostrings:

>=2.70.1,<2.71.0a0

depends bioconductor-bsgenome:

>=1.70.0,<1.71.0

depends bioconductor-bsgenome:

>=1.70.1,<1.71.0a0

depends bioconductor-genomeinfodb:

>=1.38.0,<1.39.0

depends bioconductor-genomeinfodb:

>=1.38.1,<1.39.0a0

depends bioconductor-genomicalignments:

>=1.38.0,<1.39.0

depends bioconductor-genomicalignments:

>=1.38.0,<1.39.0a0

depends bioconductor-genomicranges:

>=1.54.0,<1.55.0

depends bioconductor-genomicranges:

>=1.54.1,<1.55.0a0

depends bioconductor-impute:

>=1.76.0,<1.77.0

depends bioconductor-impute:

>=1.76.0,<1.77.0a0

depends bioconductor-iranges:

>=2.36.0,<2.37.0

depends bioconductor-iranges:

>=2.36.0,<2.37.0a0

depends bioconductor-rsamtools:

>=2.18.0,<2.19.0

depends bioconductor-rsamtools:

>=2.18.0,<2.19.0a0

depends bioconductor-rtracklayer:

>=1.62.0,<1.63.0

depends bioconductor-rtracklayer:

>=1.62.0,<1.63.0a0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends bioconductor-s4vectors:

>=0.40.2,<0.41.0a0

depends bioconductor-seqpattern:

>=1.34.0,<1.35.0

depends bioconductor-seqpattern:

>=1.34.0,<1.35.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-data.table:

depends r-ggplot2:

depends r-gridbase:

depends r-matrixstats:

depends r-plotrix:

depends r-plyr:

depends r-rcpp:

>=0.12.14

depends r-readr:

depends r-reshape2:

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-genomation

and update with::

   mamba update bioconductor-genomation

To create a new environment, run:

mamba create --name myenvname bioconductor-genomation

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-genomation:<tag>

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

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