Marie-Laure Martin-Magniette


Main research interests

Marie-Laure Martin-Magniette is strongly involved in the analyses of genomic data and is at the interface between statistics and molecular biology. She has been for 11 years in charge of the statistical analyses of the data produced by the transcriptomic platform of the Plant Genomics Research Unit. Since 2003, she has acquired a strong expertise on the data normalization and the differential analysis for microarray and High- Throughput Sequencing technologies. She has also investigated the analysis of chIP-chip data to detect enriched regions and differentially methylated regions.

Since 2005 she has been focused on the discovery and characteristics of underlying structures in genomic data with mixture models and Hidden Markov Models. She conceived these models in close collaboration with fellow biologists and statisticians. Since September 2013, she has led the team Bioinformatics for predictive genomics of the Plant Genomics Research Unit. Her team project is highly interdisciplinary and deals with the construction of genomic networks of the plant model Arabidopsis thaliana for the discovery of functional modules and the prediction of functions of orphean genes involved in stress responses.

Selection of 3 major recent publications

Rau A, Maugis-Rabusseau C, Martin-Magniette ML, Celeux G. Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models. Bioinformatics. 2015 May 1;31(9):1420-7.

Zaag R, Tamby JP, Guichard C, Tariq Z, Rigaill G, Delannoy E, Renou JP, Balzergue S, Mary-Huard T, Aubourg S, Martin-Magniette ML, Brunaud V. GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Arabidopsis thaliana genes involved in stress response. Nucleic Acids Res. 2015 Jan 28;43 (Database issue):D1010-7.

Frei dit Frey N, Garcia AV, Bigeard J, Zaag R, Bueso E, Garmier M, Pateyron S, de Tauzia-Moreau ML, Brunaud V, Balzergue S, Colcombet J, Aubourg S, Martin-Magniette ML, Hirt H. Functional analysis of Arabidopsis immune-related MAPKs uncovers a role for MPK3 as negative regulator of inducible defences. Genome Biol. 2014 Jun 30;15(6):R87


Institute of Plant Sciences - Paris-Saclay
Bâtiment 630, rue de Noetzlin
Plateau du Moulon
91405 - Orsay


Modification date : 01 February 2016 | Publication date : 01 February 2016 | Redactor : MM