Extended Data Fig. 1: Overview of the participating teams and their search strategies grouped according to their status as either developers (orange) or users (blue) of glycoproteomics software. | Nature Methods

Extended Data Fig. 1: Overview of the participating teams and their search strategies grouped according to their status as either developers (orange) or users (blue) of glycoproteomics software.

From: Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis

Extended Data Fig. 1

a. Number and type of teams that registered for and completed the study. Note that a few registered teams did not complete the study; individuals within these non-completing teams and their data (if any) were not included in the study outcome. b. Average number of members in each of the completing teams. Data is represented by mean ± SD (n = 9, developers and n = 13, users). c. The self-reported experience in glycoproteomics of each team. d. Team origin by continent. e. Data files (File A and/or B) handled by the teams. f-g. Type of fragmentation spectra used by teams to identify glycopeptides. h. Search engine(s) and i. pre- and postprocessing tools used for the glycopeptide identification.

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