bioconductor-tdaracne

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To infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In order to detect dependencies between genes at different time delays, we propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory. The proposed algorithm is expected to be useful in reconstruction of small biological directed networks from time course data.

Home http://bioconductor.org/packages/3.7/bioc/html/TDARACNE.html
Versions 1.30.0, 1.28.0
License GPL-2
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-tdaracne
Links biotools: tdaracne, doi: 10.1186/1471-2105-11-154

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-tdaracne

and update with:

conda update bioconductor-tdaracne

docker

A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-tdaracne.