Doctoral Success: John Albechaalany’s Thesis Defense and INTAQT Milestone
On 6 March 2025, John Albechaalany successfully defended his doctoral thesis in Clermont-Ferrand, surrounded by… Read more »
Some of the INTAQT partners have published new papers directly linked to the aim of our project.
- Carvalho, L. M.; Rocha, T. C.; Delgado, J. ; Díaz-Velasco, S.; Madruga, M. S.; Estévez, M. (2023). Deciphering the underlying mechanisms of the oxidative perturbations and impaired meat quality in Wooden breast myopathy by label-free quantitative MS-based proteomics. Food Chemistry. Available here!
- Ryan, C. A.; Berry, D. P.; O’Brien, A.; Pabiou T.; Purfield, D. C. (2023). Evaluating the use of statistical and machine learning methods for estimating breed composition of purebred and crossbred animals in thirteen cattle breeds using genomic information. Frontiers in Genetics. Available here!
- Kombolo-Ngah, M.; Goi, A.; Santinello, M.; Rampado, N.; Atanassova, S.; Liu, J.; Faure, P.; Thoumy, L.; Neveu, A.; Andueza, D.; De Marchi, M.; Hocquette, J.F, (2023). Across countries implementation of handheld near-infrared spectrometer for the on-line prediction of beef marbling in slaughterhouse. Meat Science. Available here!
View more INTAQT News
4th Annual Meeting of INTAQT
The 4th Annual Meeting of the EU H2020 INTAQT project took place from 20 to… Read more »
Evaluating the use of statistical and machine learning methods for estimating breed composition of purebred and crossbred animals in thirteen cattle breeds using genomic information
The ability to accurately predict breed composition using genomic information has many potential uses including… Read more »