C-COMPASS Example Data

Example Proteomics Dataset for C-COMPASS This dataset is a simulated example of proteomics dataset containing 8 compartments across 16 fractions over 3 replicates for 2 conditions, including relocalizations. The data is simulated to be highly comparable to a real spatial proteomics dataset based on gradient fractionation, and contains controlled random variations and noises that mimic real experimental variation. The purpose of this dataset is, to test or validate C-COMPASS, or to have a prepared session that helps handling the GUI of C-COMPASS. sim_08_16_FractionationData.txt:Simulated fractionation dataset for the above mentioned dataset. It can be imported to C-COMPASS for spatial proteomics analysis. sim_08_16_MarkerList.txt:Simulated marker list, fitting to the above mentioned fractionation dataset. It can be imported to C-COMPASS to assign markers for the 8 simulated compartments, and is necessary for spatial predictions. sim_08_16_TotalProteomeData.txt:Simulated total proteome dataset, fitting to the above mentioned fractionation dataset. This can be imported to C-COMPASS to calculate class-centric changes across conditions. sim_08_16_CCMPSsession_start.npy:Prepared C-COMPASS session that can be loaded. This session provides a starting point for a C-COMPASS analysis of the simulated data where the gradient samples are pre-defined, but all the following steps are not yet done. sim_08_16_CCMPSsession_processed.npy:Prepared C-COMPASS session that can be loaded. This session provides a fully analyzed state of the simulated data. Results can be exported and plots can be generated. Each processing step can be re-done via the corresponding 'reset' button.