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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.
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.
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arXiv (Cornell University) (2023)
Diego A. Hartasánchez,Annamaria Kiss,Virginie Battu,Charline Soraru, Abigail Delgado-Vaquera, Florian Massinon,Marina Brasó-Vives, Corentin Mollier,Marie-Laure Martin-Magniette,Arezki Boudaoud,Françoise Monéger
Peer Community Journal (2023)
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetikno. 11 (2023): 228-228
Frontiers in Plant Science (2023): 1288070-1288070
HAL (Le Centre pour la Communication Scientifique Directe) (2022)
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