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Bioinformatics program for PhD students 2022-2023
This training program in statistics, bioinformatics and image analysis begins with a mandatory common core during which we will present all the tracks, and follow short courses on computer science, reproducible research, experimental design […]
Hub de Bioinformatique et Biostatistique
Hub d’Analyse d’Images
INCEPTION – INstitut Convergences pour l’étude de l’Émergence des Pathologies au Travers des Individus et des populatiONs
Centre de Ressources et Recherche en Informatique
Emmanuelle Permal
Emeline Perthame
Jean-Yves Tinevez
Blaise Li
Sébastien MELLA
Anđela Davidović
Pascal Campagne
Thomas Obadia
Elise Jacquemet
Violaine Saint-André
Hanna Julienne
Thomas Bigot
Frédéric LEMOINE
Nicolas Maillet
Matthew Albert
Claudia Chica
Stéphane Dallongeville
Julien Guglielmini
Vincent Guillemot
Bernd Jagla
Vincent Laville
Benoît Lelandais
Gaëlle Letort
Yann Loe-Mie
Hélène Lopez-Maestre
Marion Louveaux
Olivier Mirabeau
Damien Mornico
Adrien Pain
Natalia Pietrosemoli
Stéphane Rigaud
Hugo Varet
Amaury Vaysse
2022-10-21 09:30:00
2023-06-30 18:00:00
Europe/Paris
Bioinformatics program for PhD students 2022-2023
This training program in statistics, bioinformatics and image analysis begins with a mandatory common core during which we will present all the tracks, and follow short courses on computer science, reproducible research, experimental design […]
Bioinformatics program for PhD students 2020-2021
This mandatory training program, required for all Institut Pasteur PhD students, begins with a group of common core courses including a knowledge base in reproducible research, R Programming and Statistics. Each student then can […]
Hub d’Analyse d’Images
Hub de Bioinformatique et Biostatistique
INCEPTION – INstitut Convergences pour l’étude de l’Émergence des Pathologies au Travers des Individus et des populatiONs
Biologie Computationnelle
Centre de Ressources et Recherches Technologiques
Vincent Guillemot
Christophe Malabat
Jean-Yves Tinevez
Marie-Agnès Dillies
Frédéric LEMOINE
Nicolas Maillet
Blaise Li
Stevenn Volant
Pascal Campagne
Hugo Varet
Hanna Julienne
Violaine Saint-André
Julien Guglielmini
Thomas Bigot
Quentin Giai Gianetto
Claudia Chica
Rachel Legendre
Adrien Pain
Natalia Pietrosemoli
Emeline Perthame
Stéphane Rigaud
Benoît Lelandais
Dmitry Ershov
Sébastien MELLA
Anđela Davidović
Thomas Obadia
Véronique Hourdel
Amine Ghozlane
Alexis Criscuolo
Amaury Vaysse
2020-10-15 09:30:00
2021-06-03 17:00:00
Europe/Paris
Bioinformatics program for PhD students 2020-2021
This mandatory training program, required for all Institut Pasteur PhD students, begins with a group of common core courses including a knowledge base in reproducible research, R Programming and Statistics. Each student then can […]
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2022IRF8 regulates efficacy of therapeutic anti-CD20 monoclonal antibodies., Eur J Immunol 2022 Aug; (): .
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2021Multitrait GWAS to connect disease variants and biological mechanisms., PLoS Genet 2021 Aug; 17(8): e1009713.
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2020Mixed-model admixture mapping identifies smoking-dependent loci of lung function in African Americans., Eur J Hum Genet 2020 05; 28(5): 656-668.
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2019A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context., Nat Commun 2019 10; 10(1): 4788.
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2018New susceptibility loci for cutaneous melanoma risk and progression revealed using a porcine model, Oncotarget 2018 Jun;9(45):27682-27697.
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2017Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks, Nat. Genet. 2018 Jan;50(1):42-53.
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2017A novel role for ciliary function in atopy: ADGRV1 and DNAH5 interactions, J. Allergy Clin. Immunol. 2018 May;141(5):1659-1667.e11.
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2017Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma, Sci Rep 2017 04;7(1):938.
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2016Melanoma Expression Genes Identified through Genome-Wide Association Study of Breslow Tumor Thickness, J. Invest. Dermatol. 2017 Jan;137(1):253-257.
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2016A comprehensive genome-wide analysis of melanoma Breslow thickness identifies interaction between CDC42 and SCIN genetic variants, Int. J. Cancer 2016 11;139(9):2012-20.
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