Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Océane Girard"'
Autor:
Constance Onfray, Simon Chevolleau, Eva Moinard, Océane Girard, Kasturi Mahadik, Ryan Allsop, Grigorios Georgolopoulos, Régis Lavigne, Ophélie Renoult, Irene Aksoy, Elsa Lemaitre, Philippe Hulin, Jean-François Ouimette, Thomas Fréour, Claire Pecqueur, Charles Pineau, Vincent Pasque, Claire Rougeulle, Laurent David
Publikováno v:
Cell Reports, Vol 43, Iss 5, Pp 114232- (2024)
Summary: The advent of novel 2D and 3D models for human development, including trophoblast stem cells and blastoids, has expanded opportunities for investigating early developmental events, gradually illuminating the enigmatic realm of human developm
Externí odkaz:
https://doaj.org/article/2001271c8ec84739b50726e1669c44a5
Autor:
Océane Girard, Régis Lavigne, Simon Chevolleau, Constance Onfray, Emmanuelle Com, Pierre-Olivier Schmit, Manuel Chapelle, Thomas Fréour, Lydie Lane, Laurent David, Charles Pineau
Publikováno v:
Journal of Proteome Research
Journal of Proteome Research, 2023, ⟨10.1021/acs.jproteome.2c00496⟩
Journal of Proteome Research, 2023, ⟨10.1021/acs.jproteome.2c00496⟩
International audience; The Chromosome-centric Human Proteome Project (C-HPP) aims at identifying the proteins as gene products encoded by the human genome, characterizing their isoforms and functions. The existence of products has now been confirmed
Autor:
Océane Girardie, Denis Laloë, Mathieu Bonneau, Yvon Billon, Jean Bailly, Ingrid David, Laurianne Canario
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Large White and Meishan sows differ in maternal ability and early piglet growth. We investigated the relationships between 100 maternal traits, grouped into 11 blocks according to the biological function they describe and litter growth over
Externí odkaz:
https://doaj.org/article/9f3014c53cb84b3eadd68638e631eb46
Publikováno v:
Frontiers in Veterinary Science, Vol 9 (2023)
An activity pattern describes variations in activities over time. The objectives of this study are to automatically predict sow activity from computer vision over 11 days peripartum and estimate how sow behavior influences piglet's performance during
Externí odkaz:
https://doaj.org/article/eb07e2616c554068baf3219ad8aa0c49