Benchmarking quantitative label-free LC–MS data processing workflows using a complex spiked proteomic standard dataset

Archive ouverte

Ramus, Claire | Hovasse, Agnès | Marcellin, Marlène | Hesse, Anne-Marie | Mouton-Barbosa, Emmanuelle | Bouyssié, David | Vaca, Sebastian | Carapito, Christine | Chaoui, Karima | Bruley, Christophe | Garin, Jérôme | Cianférani, Sarah | Ferro, Myriam | van Dorssaeler, Alain | Burlet-Schiltz, Odile | Schaeffer, Christine | Couté, Yohann | Gonzalez de Peredo, Anne

Edité par CCSD ; Elsevier -

International audience. Proteomic workflows based on nanoLC-MS/MS data-dependent-acquisition analysis have progressed tremendously in recent years. High-resolution and fast sequencing instruments have enabled the use of label-free quantitative methods, based either on spectral counting or on MS signal analysis, which appear as an attractive way to analyze differential protein

• Description
• Sujet/Public
• Outil
• Outil d'anticipation
• Mémoire et thèse
• Gestion