Supplementary data files used to construct data sets
Supporting Information from Ramus, Claire, Agnès Hovasse, Marlène Marcellin, Anne-Marie Hesse, Emmanuelle Mouton-Barbosa, David Bouyssié, Sebastian Vaca, et al. “Benchmarking Quantitative Label-Free LC–MS Data Processing Workflows Using a Complex Spiked Proteomic Standard Dataset.” Journal of Proteomics 132 (2016): 51–62. https://www.sciencedirect.com/science/article/pii/S187439191530186X?via%3Dihub
The following file is downloaded from the supplementary data 1-s2.0-S187439191530186X-mmc1.xlsx.
TODO: convert xlsx format to csv format to facillitate R processing.
Label-free quantification is performed across 10 fractions.
For Spectral Sounting workflows - workflows 1 to 4, only unnormalised data will be provided.
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