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 4523โ4524, 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