Organisation Instance

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{
    "id": 24,
    "name": "MaIAGE - Applied Mathematics and Computer Science from Genomes to the Environment",
    "description": "The MaIAGE research unit (UR 1404) brings together mathematicians, computer scientists, bioinformaticians, and biologists to address questions in biology and agroecology, ranging from the molecular scale to the landscape scale, including the study of individuals, populations, and ecosystems. It is structured into five teams:\r\n- Dynenvie : dynamic and statistical modeling for ecosystems, epidemiology and agronomy\r\n- Bibliome : Acquisition and formalization of knowledge from texts\r\n- BioSys : Systems Biology\r\n- StatInfOmics : Bioinformatics and statistics of \"omics\" data\r\n- Migale : bioinformatics platform\r\n\r\nThe unit develops original mathematical and computer methods, both generic and motivated by specific biological problems. It is also involved in providing databases and software that enable biologists to use tools effectively or to automatically analyze scientific literature. \r\nStatistical inference and dynamic modeling are core competencies of the unit, complemented by bioinformatics, automation, and algorithms. Research and engineering activities also rely on strong engagement with the target disciplines: ecology, environment, molecular biology, and systems biology. \r\nMaIAGE is affiliated with two INRAE ​​departments:\r\n- Mathematics and Digital Technology (MathNum, pilot department)\r\n- Microbiology and the Food Chain (MICA)\r\n\r\nThe MaIAGE unit is heavily involved in reducing its environmental footprint .",
    "homepage": "https://maiage.inrae.fr/",
    "orgid": "05qdnns64",
    "fields": [],
    "city": "Jouy-en-josas",
    "logo_url": "https://maiage.inrae.fr/sites/default/files/MaIAGE_logo.png"
}