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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
MoonDB 2.0: an updated database of extreme multifunctional and moonlighting proteins
Published in Nucleic Acids Research, 2019
Ribeiro, D. M., Briere, G., Bely, B., Spinelli, L., & Brun, C. (2019). MoonDB 2.0: an updated database of extreme multifunctional and moonlighting proteins. Nucleic Acids Research, 47(D1), D398–D402. https://doi.org/10.1093/nar/gky1039
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Maternal dietary omega-3 deficiency worsens the deleterious effects of prenatal inflammation on the gut-brain axis in the offspring across lifetime
Published in Neuropsychopharmacology, 2021
Leyrolle, Q., Decoeur, F., Briere, G., Amadieu, C., Quadros, A. R. A. D. A., Voytyuk, I., ... & Nadjar, A. (2021). Maternal dietary omega-3 deficiency worsens the deleterious effects of prenatal inflammation on the gut-brain axis in the offspring across lifetime. Neuropsychopharmacology, 46(3), 579–602. https://doi.org/10.1038/s41386-020-00793-7
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Consensus clustering applied to multi-omics disease subtyping
Published in BMC Bioinformatics, 2021
Brière, G., Darbo, É., Thébault, P., & Uricaru, R. (2021). Consensus clustering applied to multi-omics disease subtyping. BMC Bioinformatics, 22(1), 361. https://doi.org/10.1186/s12859-021-04279-1
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N-3 PUFA deficiency disrupts oligodendrocyte maturation and myelin integrity during brain development
Published in Glia, 2022
Leyrolle, Q., Decoeur, F., Dejean, C., Brière, G., Leon, S., Bakoyiannis, I., ... & Nadjar, A. (2022). N-3 PUFA deficiency disrupts oligodendrocyte maturation and myelin integrity during brain development. Glia, 70(1), 50–70. https://doi.org/10.1002/glia.24088
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Methodological developments for omic data integration : applications to oncology and neurosciences
PhD thesis, University of Bordeaux, 2022
Briere, G. (2022). Methodological developments for omic data integration : applications to oncology and neurosciences, Bordeaux).
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Condition-specific and recurrent perturbation communities in multiple differential co-expression networks
JOBIM, 2022
BRIÈRE G, NADJAR N, URICARU R and THÉBAULT P. Condition-specific and recurrent perturbation communities in multiple differential co-expression networks.
Random Walk with Restart on a Biomedical Multilayer Network to Uncover Novel Phenotypes Associated with Rare Diseases
RECOMB/ISCB Conference on Regulatory and Systems Genomics with DREAM Challenges (Los Angeles), 2023
Random walk with restart on multilayer networks: from node prioritisation to supervised link prediction and beyond
Published in BMC Bioinformatics, 2024
Baptista, A., Brière, G., & Baudot, A. (2024). Random walk with restart on multilayer networks: from node prioritisation to supervised link prediction and beyond. BMC Bioinformatics, 25(1), 70. https://doi.org/10.1186/s12859-024-05683-z
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The molecular landscape of premature aging diseases defined by multilayer network exploration
Published in Advanced Biology, 2024
Beust, C., Valdeolivas, A., Baptista, A., Brière, G., Lévy, N., Ozisik, O., & Baudot, A. (2024). The molecular landscape of premature aging diseases defined by multilayer network exploration. Advanced Biology, 8(11), 2400134. https://doi.org/10.1002/adbi.202400134
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Phenotypes extraction from clinical descriptions using Large Language Models
ESHG 2025 (Proceedings), 2025
Berardelli, S., Gazzo, A., De Paoli, F., Briere, G., Loire, B., Limongelli, I., ... & Zucca, S. (2025). Phenotypes extraction from clinical descriptions using Large Language Models. In Proceedings of ESHG 2025. ESHG Conference Organiser.
Benchmarking the Impact of Data Leakage on the Performance of Knowledge Graph Embedding Models for Biomedical Link Prediction
Published in bioRxiv, 2025
Briere, G., Stosskopf, T., Loire, B., & Baudot, A. (2025). Benchmarking the Impact of Data Leakage on the Performance of Knowledge Graph Embedding Models for Biomedical Link Prediction. bioRxiv. https://doi.org/10.1101/2025.01.23.634511
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Using Networks and Prior Knowledge to Uncover Novel Rare Disease Phenotypes
Published in medRxiv, 2025
Brière, G., Beust, C., Térézol, M., & Baudot, A. (2025). Using Networks and Prior Knowledge to Uncover novel Rare Disease Phenotypes. medRxiv. https://doi.org/10.1101/2025.04.02.25325098
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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