In support for the paper

Enio Gjerga, Panuwat Trairatphisan, Attila Gabor, Hermann Koch, Celine Chevalier, Franceco Ceccarelli, Aurelien Dugourd, Alexander Mitsos, Julio Saez-Rodriguez, Converting networks to predictive logic models from perturbation signalling data with CellNOpt, Bioinformatics, Volume 36, Issue 16, 15 August 2020, Pages 4523–4524, https://doi.org/10.1093/bioinformatics/btaa561

CellNOptR: https://github.com/saezlab/CellNOptR

CNORode: https://github.com/saezlab/CNORode

CellNOpt-Feeder: https://github.com/saezlab/CellNOpt-Feeder

CNORProb: https://github.com/saezlab/CNORprob

CellNOpt-MaBoSS: https://github.com/saezlab/CellNOptR-MaBoSS

ShinyCNOR (Online): https://saezlab.shinyapps.io/shinycnor/

ShinyCNOR (GitHub): https://github.com/saezlab/ShinyCNOR

The CellNOoptR, CNORode and the CellNOpt-Feeder updates have also been implemented in Bioconductor and they can be respectively found in:

CellNOptR: https://www.bioconductor.org/packages/release/bioc/html/CellNOptR.html

CNORode: https://www.bioconductor.org/packages/release/bioc/html/CNORode.html

CNORfeeder: https://www.bioconductor.org/packages/release/bioc/html/CNORfeeder.html

Distributed under the GPLv3 License. See accompanying file LICENSE.txt or copy at: http://www.gnu.org/licenses/gpl-3.0.html

CellNOpt website: http://www.cellnopt.org