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Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters.
Bouakaze C, Delehelle F, Saenz-Oyhéréguy N, Moreira A, Schiavinato S, Croze M, Delon S, Fortes-Lima C, Gibert M, Bujan L, Huyghe E, Bellis G, Calderon R, Hernández CL, Avendaño-Tamayo E, Bedoya G, Salas A, Mazières S, Charioni J, Migot-Nabias F, Ruiz-Linares A, Dugoujon JM, Thèves C, Mollereau-Manaute C, Noûs C, Poulet N, King T, D'Amato ME, Balaresque P. Bouakaze C, et al. Among authors: saenz oyhereguy n. Forensic Sci Int Genet. 2020 Sep;48:102342. doi: 10.1016/j.fsigen.2020.102342. Epub 2020 Jun 29. Forensic Sci Int Genet. 2020. PMID: 32818722
Analysis of 5000 year-old human teeth using optimized large-scale and targeted proteomics approaches for detection of sex-specific peptides.
Froment C, Hourset M, Sáenz-Oyhéréguy N, Mouton-Barbosa E, Willmann C, Zanolli C, Esclassan R, Donat R, Thèves C, Burlet-Schiltz O, Mollereau C. Froment C, et al. Among authors: saenz oyhereguy n. J Proteomics. 2020 Jan 16;211:103548. doi: 10.1016/j.jprot.2019.103548. Epub 2019 Oct 15. J Proteomics. 2020. PMID: 31626997