SPIN enables high throughput species identification of archaeological bone by proteomics

Available methods to identify species from fragmented archaeological bone and remains suffer a trade-off between cost and resolution. Here, the authors present a workflow that uses automated sample preparation, 10 to 20 times faster data acquisition, and computerized data interpretation to make the...

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Main Authors: Patrick Leopold Rüther, Immanuel Mirnes Husic, Pernille Bangsgaard, Kristian Murphy Gregersen, Pernille Pantmann, Milena Carvalho, Ricardo Miguel Godinho, Lukas Friedl, João Cascalheira, Alberto John Taurozzi, Marie Louise Schjellerup Jørkov, Michael M. Benedetti, Jonathan Haws, Nuno Bicho, Frido Welker, Enrico Cappellini, Jesper Velgaard Olsen
Format: Artigo
Jezik:Inglês
Izdano: Nature Portfolio 2022-05-01
Serija:Nature Communications
Online dostop:https://doi.org/10.1038/s41467-022-30097-x
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