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QC in proteomics: lessons from proteored multicentric experiments

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Abstract

From the early days of Proteomics, the issue of reproducibility and robustness of proteomic analysis methods has been subject of controversy. The large diversity of techniques, instruments and software tools used in proteomic analysis makes this a complex question. For Proteomics to deliver meaningful and relevant biological information it is mandatory that proper quality control and assessment of reproducibility of the different methods are regularly performed at proteomic laboratories.

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What this paper is about

From the early days of Proteomics, the issue of reproducibility and robustness of proteomic analysis methods has been subject of controversy. The large diversity of techniques, instruments and software tools used in proteomic analysis makes this a complex question. For Proteomics to deliver meaningful and relevant biological information it is mandatory that proper quality control and assessment of reproducibility of the different methods are regularly performed at proteomic laboratories.

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Available abstract

From the early days of Proteomics, the issue of reproducibility and robustness of proteomic analysis methods has been subject of controversy. The large diversity of techniques, instruments and software tools used in proteomic analysis makes this a complex question. For Proteomics to deliver meaningful and relevant biological information it is mandatory that proper quality control and assessment of reproducibility of the different methods are regularly performed at proteomic laboratories.

Key concepts: Proteomics, Computer science, Software, Data science, Biology, Gene, Biochemistry, Programming language

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