Alpaca. A Simplified and Reproducible Python‐Based Pipeline for Absolute Proteome Quantification Data Mining

ABSTRACT The accurate construction of computational models in systems biology heavily relies on the availability of quantitative proteomics data, specifically, absolute protein abundances. However, the complex nature of proteomics data analysis necessitates specialised expertise, making the integrat...

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Veröffentlicht in:	Proteomics (Weinheim) Jg. 25; H. 9-10; S. e202400417 - n/a
Hauptverfasser:	Ferrero‐Bordera, Borja, Becher, Dörte, Maaß, Sandra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany Wiley Subscription Services, Inc 01.05.2025 John Wiley and Sons Inc
Schlagworte:	absolute proteome quantification Animals Availability Biology Data analysis Data mining Data Mining - methods Data processing Graphical user interface Mathematical models Modular structures open source protein abundances Proteins Proteome - analysis Proteomes Proteomics Proteomics - methods proteomics analysis Python Reproducibility Reproducibility of Results Robustness Software Technical Brief User-Computer Interface open source proteomics data mining protein abundances Python absolute proteome quantification proteomics analysis
ISSN:	1615-9853, 1615-9861, 1615-9861
Online-Zugang:	Volltext
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