recipe bioconductor-tcseq

Time course sequencing data analysis

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-tcseq/meta.yaml

Quantitative and differential analysis of epigenomic and transcriptomic time course sequencing data, clustering analysis and visualization of temporal patterns of time course data.

package bioconductor-tcseq

versions:

1.23.0-0,  1.22.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1, 

1.23.0-0,  1.22.0-0,  1.18.0-0,  1.16.0-0,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.6.0-0

depends bioconductor-biocgenerics:

>=0.46.0,<0.47.0

depends bioconductor-edger:

>=3.42.0,<3.43.0

depends bioconductor-genomicalignments:

>=1.36.0,<1.37.0

depends bioconductor-genomicranges:

>=1.52.0,<1.53.0

depends bioconductor-iranges:

>=2.34.0,<2.35.0

depends bioconductor-rsamtools:

>=2.16.0,<2.17.0

depends bioconductor-summarizedexperiment:

>=1.30.0,<1.31.0

depends r-base:

>=4.3,<4.4.0a0

depends r-cluster:

depends r-e1071:

depends r-ggplot2:

depends r-locfit:

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-tcseq

and update with::

   mamba update bioconductor-tcseq

To create a new environment, run:

mamba create --name myenvname bioconductor-tcseq

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-tcseq:<tag>

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

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