recipe bioconductor-translatome

Comparison between multiple levels of gene expression






Detection of differentially expressed genes (DEGs) from the comparison of two biological conditions (treated vs. untreated, diseased vs. normal, mutant vs. wild-type) among different levels of gene expression (transcriptome ,translatome, proteome), using several statistical methods: Rank Product, Translational Efficiency, t-test, Limma, ANOTA, DESeq, edgeR. Possibility to plot the results with scatterplots, histograms, MA plots, standard deviation (SD) plots, coefficient of variation (CV) plots. Detection of significantly enriched post-transcriptional regulatory factors (RBPs, miRNAs, etc) and Gene Ontology terms in the lists of DEGs previously identified for the two expression levels. Comparison of GO terms enriched only in one of the levels or in both. Calculation of the semantic similarity score between the lists of enriched GO terms coming from the two expression levels. Visual examination and comparison of the enriched terms with heatmaps, radar plots and barplots.

package bioconductor-translatome

(downloads) docker_bioconductor-translatome



depends bioconductor-anota:


depends bioconductor-biobase:


depends bioconductor-deseq2:


depends bioconductor-edger:


depends bioconductor-gosemsim:


depends bioconductor-heatplus:


depends bioconductor-limma:




depends bioconductor-rankprod:


depends bioconductor-topgo:


depends r-base:


depends r-gplots:

depends r-plotrix:



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-translatome

and update with::

   mamba update bioconductor-translatome

To create a new environment, run:

mamba create --name myenvname bioconductor-translatome

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

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