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Laetitia Mathon
Laetitia Mathon
Dr. in marine ecology
Verified email at cefe.cnrs.fr
Title
Cited by
Cited by
Year
Benchmarking bioinformatic tools for fast and accurate eDNA metabarcoding species identification
L Mathon, A Valentini, PE Guérin, E Normandeau, C Noel, C Lionnet, ...
Molecular Ecology Resources 21 (7), 2565-2579, 2021
592021
Cross-ocean patterns and processes in fish biodiversity on coral reefs through the lens of eDNA metabarcoding
L Mathon, V Marques, D Mouillot, C Albouy, M Andrello, F Baletaud, ...
Proceedings of the Royal Society B 289 (1973), 20220162, 2022
272022
The distribution of coastal fish eDNA sequences in the Anthropocene
L Mathon, V Marques, S Manel, C Albouy, M Andrello, E Boulanger, ...
Global Ecology and Biogeography 32 (8), 1336-1352, 2023
52023
Applying convolutional neural networks to speed up environmental DNA annotation in a highly diverse ecosystem
B Flück, L Mathon, S Manel, A Valentini, T Dejean, C Albouy, D Mouillot, ...
Scientific Reports 12 (1), 10247, 2022
42022
Circumglobal distribution of fish environmental DNA in coral reefs
L Mathon, V Marques, D Mouillot, C Albouy, M Andrello, F Baletaud, ...
ARPHA Conference Abstracts 4, e64792, 2021
12021
Benchmarking fish biodiversity of seaports with eDNA and nearby marine reserves
S Manel, L Mathon, D Mouillot, M Bruno, A Valentini, G Lecaillon, ...
Conservation Letters, e13001, 2024
2024
Comparing Seamounts and Coral Reefs with eDNA and BRUVS Reveals Oases and Refuges on Shallow Seamounts
F Baletaud, G Lecellier, A Gilbert, L Mathon, JM Côme, T Dejean, ...
Biology 12 (11), 1446, 2023
2023
L’ADN environnemental pour décrire les patrons de diversité des poissons à large échelle et informer la conservation
L Mathon
Université de Montpellier, 2023
2023
Comparing Seamounts and Coral Reefs with eDNA and BRUVS Reveals Oases and Refuges on Shallow Seamounts. Biology 2023, 12, 1446
F Baletaud, G Lecellier, A Gilbert, L Mathon, JM Côme, T Dejean, ...
2023
Fast processing of environmental DNA metabarcoding sequence data using convolutional neural networks
B Flück, L Mathon, S Manel, A Valentini, T Dejean, C Albouy, D Mouillot, ...
bioRxiv, 2021.05. 22.445213, 2021
2021
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