R and Bioconductor-based Workflow for Downstream Analysis of LFQ Meat Proteomics Data: Enhancing Reproducibility in Meat Proteomics Research
Résumé
Proteomics have been extensively used in meat science to understand the biochemistry of meat quality. Identified and quantified proteomics data obtained through processing with analytical software tools, such as Mascot and Progenesis QI, among others, serve as a common starting point for meat scientists to analyze shotgun proteomic data. However, a standardized workflow for the downstream statistical analysis and visualization of these factorial design datasets is lacking.
Domaines
Sciences de l'environnement| Origine | Fichiers produits par l'(les) auteur(s) |
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