MSPypeline: a python package for streamlined data analysis of mass spectrometry-based proteomics
Abstract: 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 statistical analyses. MSPypeline provides a platform for importing MaxQuant output tables, generating quality control reports, data preprocessing including normalization and performing exploratory analyses by statistical inference plots. These standardized steps assess data quality, provide customizable figures and enable the identification of differentially expressed proteins to reach biologically relevant conclusions
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Bioinformatics advances. - 2, 1 (2022) , vbac004, ISSN: 2635-0041
- Event
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Veröffentlichung
- (where)
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Freiburg
- (who)
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Universität
- (when)
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2024
- Creator
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Heming, Simon
Hansen, Pauline
Vlasov, Artyom
Schwörer, Florian
Schaumann, Stephen
Frolovaitė, Paulina
Lehmann, Wolf-Dieter
Timmer, Jens
Schilling, Marcel
Helm, Barbara
Klingmüller, Ursula
- DOI
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10.1093/bioadv/vbac004
- URN
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urn:nbn:de:bsz:25-freidok-2446164
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:01 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Heming, Simon
- Hansen, Pauline
- Vlasov, Artyom
- Schwörer, Florian
- Schaumann, Stephen
- Frolovaitė, Paulina
- Lehmann, Wolf-Dieter
- Timmer, Jens
- Schilling, Marcel
- Helm, Barbara
- Klingmüller, Ursula
- Universität
Time of origin
- 2024
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