MSPypeline: a python package for streamlined data analysis of mass spectrometry-based proteomics

• Published in: Bioinformatics Advances Vol. 2; no. 1; p. vbac004
• Main Authors: Heming, Simon, Hansen, Pauline, Vlasov, Artyom, Schwörer, Florian, Schaumann, Stephen, Frolovaitė, Paulina, Lehmann, Wolf-Dieter, Timmer, Jens, Schilling, Marcel, Helm, Barbara, Klingmüller, Ursula
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 2022
• Subjects: Application Note; Bioinformatics; Data processing; Mass spectroscopy; Proteomics; Quality control; Statistical analysis; Statistics

Summary Mass spectrometry-based proteomics is increasingly employed in biology and medicine. To generate reliable information from large datasets and ensure comparability of results, it is crucial to implement and standardize the quality control of the raw data, the data processing steps and the sta...