MSPypeline: a python package for streamlined data analysis of mass spectrometry-based proteomics - Heming, Simon; Hansen, Pauline; Vlasov, Artyom; Schwörer, Florian; Schaumann, Stephen; Frolovaitė, Paulina; Lehmann, Wolf-Dieter; Timmer, Jens; Schilling, Marcel; Helm, Barbara; Klingmüller, Ursula (Bioinformatics Advances, 2022)
Keywords: Application Note; Bioinformatics; Data processing; Mass spectroscopy; Proteomics; Quality control; Statistical analysis; Statistics