HowDirty: An R package to evaluate molecular contaminants in LC‐MS experiments

Contaminants derived from consumables, reagents, and sample handling often negatively affect LC‐MS data acquisition. In proteomics experiments, they can markedly reduce identification performance, reproducibility, and quantitative robustness. Here, we introduce a data analysis workflow combining MS1...

Ausführliche Beschreibung