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.