recipe bioconductor-tcseq

Time course sequencing data analysis



GPL (>= 2)



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

package bioconductor-tcseq

(downloads) docker_bioconductor-tcseq



depends bioconductor-biocgenerics:


depends bioconductor-edger:


depends bioconductor-genomicalignments:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-rsamtools:


depends bioconductor-summarizedexperiment:


depends r-base:


depends r-cluster:

depends r-e1071:

depends r-ggplot2:

depends r-locfit:

depends r-reshape2:



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<tag>

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

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