Difference between revisions of "Platforms"
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| − | = | + | = BiGEst-ICube platform = |
| − | [ | + | [https://bigest.icube.unistra.fr/ BiGEst platform] |
| − | The | + | The BiGEst-ICube (Bio-Informatics and Genomics East) platform offers access to state-of-the-art computing equipment and the corresponding technological and scientific expertise for the development and provision of computing resources (software, databases, etc.). It represents a unique entry point for services related to bioinformatics, data mining or modeling and optimization of complex biological systems developed by ICube research teams. |
| − | The | + | The ICube platform is a partner of the Strasbourg bioinformatics platform, [http://bigest.unistra.fr BiGEst], which has expertise, tools and bioinformatics resources, focused on evolutionary and functional analyses in various fields of application, including biomedical studies. |
| + | |||
| + | Translated with www.DeepL.com/Translator (free version) | ||
= EASEA artificial evolution platform = | = EASEA artificial evolution platform = | ||
Latest revision as of 12:08, 1 June 2022
BiGEst-ICube platform
The BiGEst-ICube (Bio-Informatics and Genomics East) platform offers access to state-of-the-art computing equipment and the corresponding technological and scientific expertise for the development and provision of computing resources (software, databases, etc.). It represents a unique entry point for services related to bioinformatics, data mining or modeling and optimization of complex biological systems developed by ICube research teams.
The ICube platform is a partner of the Strasbourg bioinformatics platform, BiGEst, which has expertise, tools and bioinformatics resources, focused on evolutionary and functional analyses in various fields of application, including biomedical studies.
Translated with www.DeepL.com/Translator (free version)
EASEA artificial evolution platform
EASEA and EASEA-CLOUD are Free Open Source Software (under GNU Affero v3 General Public License) developed by the SONIC group. Through the Strasbourg Complex Systems Digital Campus, the platforms are shared with the UNESCO CS-DC UniTwin and E-laboratory on Complex Computational Ecosystems (ECCE).
EASEA (EAsy Specification of Evolutionary Algorithms) is an Artificial Evolution platform that allows scientists with only basic skills in computer science to implement evolutionary algorithms and to exploit the massive parallelism of many-core architectures in order to optimize virtually any real-world problems (continous, discrete, combinatorial, mixed and more (with Genetic Programming)), typically allowing for speedups up to x500 on a $3,000 machine, depending on the complexity of the evaluation function of the inverse problem to be solved.