Automated high-throughput biological sex identification from archaeological human dental enamel using targeted proteomics
Claire Koenig(University of Copenhagen), Jesper V. Olsen(Novo Nordisk Foundation), Ryan Paterson(University of Copenhagen), Marie Louise Schjellerup Jørkov(University of Copenhagen), Patricia Bortel(University of Vienna), Christopher Gerner(University of Vienna), Barbara Rendl(Institute of Forensic Science), Marina Martínez de Pinillos(Centro Nacional de Investigación sobre la Evolución Humana), Enrico Cappellini(University of Copenhagen), Gaudry Troché(University of Copenhagen), Sandra Mularczyk(University of Copenhagen), Fabian Kanz(Institute of Forensic Science), Ana Martínez‐Val(University of Copenhagen), Nuno Vibe Hermann(University of Copenhagen), Palesa P. Madupe(IT University of Copenhagen), María Martinón‐Torres(Centro Nacional de Investigación sobre la Evolución Humana)
Cited by 4
Related Papers
Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment
|Journal of Proteome Research|2011|5.9k
Quantitative Phosphoproteomics Reveals Widespread Full Phosphorylation Site Occupancy During Mitosis
|Science Signaling|2010|1.5k
Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast
|Nature|2008|893
A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics
|Nature Protocols|2009|783
An Optimized Shotgun Strategy for the Rapid Generation of Comprehensive Human Proteomes
|Cell Systems|2017|549