recipe bioconductor-tdaracne

Network reverse engineering from time course data.

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/TDARACNE.html

License:

GPL-2

Recipe:

/bioconductor-tdaracne/meta.yaml

Links:

biotools: tdaracne, doi: 10.1186/1471-2105-11-154

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.

package bioconductor-tdaracne

Versions:

1.47.0-0,  1.44.0-0,  1.42.0-0,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-1,  1.32.0-0, 

1.47.0-0,  1.44.0-0,  1.42.0-0,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• bioconductor-rgraphviz >=2.42.0,<2.43.0

• r-base >=4.2,<4.3.0a0

• r-genkern

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-tdaracne

and update with:

conda update bioconductor-tdaracne

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-tdaracne:<tag>

(see bioconductor-tdaracne/tags for valid values for <tag>)

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