IDESS: Identification and Design in Stochastic Genetic Regulatory Networks Carlos Sequeiros1, Manuel Pájaro4, Carlos Vázquez2, Julio R. Banga1 and Irene Otero-Muras3 1Computational Biology Lab MBG-CSIC (Spanish National Research Council) Pontevedra, 36143, Spain. 2Department of Mathematics and CITIC Universidade da Coruña A Coruña, 15071, Spain 3Institute for integrative systems biology (I2SysBio) CSIC-Universitat de València Paterna, València 46980, Spain. 4Department of Mathematics Universidade de Vigo Rúa Canella da Costa da Vela, 12, Ourense, 32004, Spain Code developed by C. Sequeiros, cxsf299793000ms@gmail.com Contact: j.r.banga@csic.es, ireneotero@iim.csic.es, carlos.vazquez.cendon@udc.es In order to use the toolbox, you will need a Matlab installation under Windows, and a PC with a CUDA compatible GPU and a compatible C++ compiler. Requirements: - Matlab version R2019b or later (tested with version R2019b using a 64-bit Windows 10 Professional operating system) - Matlab toolboxes: Optimization Toolbox, Parallel Computing Toolbox - MEIGO optimization toolbox (https://github.com/gingproc-IIM-CSIC/MEIGO64) - CUDA version 10.1 or later - Microsoft Visual Studio 2019 or later Installation: - install Matlab and the recommended toolboxes, and make sure they can be executed normally - decompress the .ZIP in a directory of your choice - Copy the contents of MEIGO64-master to folder IDESS_1.0 - install CUDA runtime environment (https://developer.nvidia.com/cuda-zone) - install Microsoft Visual Studio 2019 (https://visualstudio.microsoft.com/vs/). Make sure that the workload “Desktop development with C++” is installed. - check the included manual for further usage and execution details

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