| Predicting male fertility from the sperm methylome: application to 120 bulls with hundreds of artificial insemination records V Costes, A Chaulot-Talmon, E Sellem, JP Perrier, A Aubert-Frambourg, ... Clinical Epigenetics 14 (1), 54, 2022 | 24 | 2022 |
| The epigenome of male germ cells and the programming of phenotypes in cattle H Kiefer, E Sellem, A Bonnet-Garnier, M Pannetier, V Costes, L Schibler, ... Animal Frontiers 11 (6), 28-38, 2021 | 10 | 2021 |
| Oxford nanopore sequencing as an alternative to reduced representation bisulphite sequencing for the identification of CpGs of interest in livestock populations A López-Catalina, V Costes, R Peiró-Pastor, H Kiefer, O González-Recio Livestock Science 279, 105377, 2024 | 1 | 2024 |
| Multi-omics data integration for the identification of biomarkers for bull fertility V Costes, E Sellem, S Marthey, C Hoze, A Bonnet, L Schibler, H Kiefer, ... Plos one 19 (2), e0298623, 2024 | | 2024 |
| A capture-based approach for DNA methylation analysis in cattle V Costes, A López-Catalina, O González-Recio, M Ben, DE Rico, ... | | 2023 |
| Identification de biomarqueurs de la qualité de la semence bovine, modélisation statistique et hypothèses biologiques V Costes université Paris-Saclay, 2022 | | 2022 |
| Prediction of bull fertility based on the sperm methylome V Costes, A Chaulot-Talmon, E Sellem, JP Perrier, A Aubert-Frambourg, ... DADE (Domestic Animals DOHaD and Epigenetics), 2021 | | 2021 |
| Automatisation de la préparation de librairies RRBS: un recul de 2 ans sur 388 librairies et 2 espèces A Chaulot-Talmon, JP Perrier, L Jouneau, A Aubert-Frambourg, ... | | 2019 |
