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. 2023 Jul 11;14:4113. doi: 10.1038/s41467-023-39889-1

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — a Signal-to-noise ratio (SNR) in asari is defined by peak height divided by noise level. In a mass track (extracted ion chromatogram), all data points within the peak range are considered part of the peak. All other data points are considered as noise. The noise level is taken as average intensity of up to 100 nonpeak data points on each side of the peak. b Chromatographic peak selectivity (cSelectivity). After filtering the data by 1/2 of a given peak height, the cSelectivity of the given peak is defined by the fraction of the data points belong to any peak. cSelectivity is 1 when the chromatogram has no noise above the half height of any peak. c Overview of all features in the Yeast2021 dataset. Peak area (log2) and peak shape are x and y-axes; SNR and cSelectivity are coded by size and color. Contrast to data of lower quality is shown in Supplementary Fig. 9. The inset shows the kernel density of SNR and peak shape. d, e Histograms of SNR distribution in the Yeast2021 and HZV029 datasets, respectively. f Kernel density of SNR distribution in the Yeast2021 and HZV029 datasets. More features with high SNR indicate better quality in feature detection. Source data are provided as a Source Data file.