Professor of Bioinformatics and and responsible for the bioinformatics platform of the IMRB

Denis Mestivier

Denis Mestivier

Professor of Bioinformatics at the University of Paris-Est Créteil, and head of the bioinformatics platform of the Mondor Institute of BioMedical Research. 

Denis Mestivier has a multi-disciplinary background (master's degree in molecular genetics and PhD in Biomathematics). He develops and adapts methods (modeling/bioinformatics/data analysis) to biology and health problems using large data sets in collaboration with experimental teams. He has been involved in the development of biology-computing teaching since 1990/2000, with a focus on health issues since his appointment to the Faculty of Health.

Publications of Denis Mestivier

Human Colonic Microbiota and Short-Term Postoperative Outcomes in Colorectal Cancer Patients: A Pilot Study. Lauka L, Sobhani I, Brunetti F, Mestivier D, de'Angelis N. Microorganisms. 2021;10(1):41. PMID: 35056490

The Limits and Avoidance of Biases in Metagenomic Analyses of Human Fecal Microbiota. Bergsten E, Mestivier D, Sobhani I. Microorganisms. 2020;8(12):1954. PMID: 33317070

Colorectal cancer-associated microbiota contributes to oncogenic epigenetic signatures. Sobhani I, Bergsten E, Couffin S, Amiot A, Nebbad B, Barau C, de'Angelis N, Rabot S, Canoui-Poitrine F, Mestivier D, Pédron T, Khazaie K, Sansonetti PJ. PNAS 2019 ;26;116(48):24285-24295. PMID: 31712445

Progression from cirrhosis to cancer is associated with early ubiquitin post-translational modifications: identification of new biomarkers of cirrhosis at risk of malignancy. Laouirem S, Le Faouder J, Alexandrov T, Mestivier D, Léger T, Baudin X, Mebarki M, Paradis V, Camadro JM, Bedossa P. J Pathol. 2014;234(4):452-63. PMID: 24979321

A Boolean probabilistic model of metabolic adaptation to oxygen in relation to iron homeostasis and oxidative stress.Achcar F, Camadro JM, Mestivier D. BMC Syst Biol. 2011;5:51. PMID: 21489274

SERIE of Denis Mestivier

Artificial Intelligence applied to health
Artificial Intelligence applied to health

We will showcase different application fields, and different use cases to show where the Artificial can help identify subjects at risk of vulnerability.

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