recipe bioconductor-delocal

Identifies differentially expressed genes with respect to other local genes






The goal of DELocal is to identify DE genes compared to their neighboring genes from the same chromosomal location. It has been shown that genes of related functions are generally very far from each other in the chromosome. DELocal utilzes this information to identify DE genes comparing with their neighbouring genes.

package bioconductor-delocal

(downloads) docker_bioconductor-delocal



depends bioconductor-deseq2:


depends bioconductor-limma:


depends bioconductor-summarizedexperiment:


depends r-base:


depends r-dplyr:

depends r-ggplot2:

depends r-matrixstats:

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-delocal

and update with::

   mamba update bioconductor-delocal

To create a new environment, run:

mamba create --name myenvname bioconductor-delocal

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-delocal/tags`_ for valid values for ``<tag>``)

Download stats