Publication: Impact of three different peak picking software tools on the quality of untargeted metabolomics data
Impact of three different peak picking software tools on the quality of untargeted metabolomics data
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Wartmann, Y., Boxler, M. I., Kraemer, T., & Steuer, A. E. (2024). Impact of three different peak picking software tools on the quality of untargeted metabolomics data. Journal of Pharmaceutical and Biomedical Analysis, 248, 116302. https://doi.org/10.1016/j.jpba.2024.116302
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Data quality and control parameters are becoming more important in metabolomics. For peak picking, open-source or commercial solutions are used. Other publications consider different software solutions or data acquisition types for peak picking, a combination, including proposed and new quality parameters for the process of peak picking, does not exist. This study tries to examine the performance of three different software in terms of reproducibility and quality of their output while also considering new quality parameters to gain a
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Wartmann, Y., Boxler, M. I., Kraemer, T., & Steuer, A. E. (2024). Impact of three different peak picking software tools on the quality of untargeted metabolomics data. Journal of Pharmaceutical and Biomedical Analysis, 248, 116302. https://doi.org/10.1016/j.jpba.2024.116302