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dataMAPPs allows routine and efficient processing of data from immunogenicity studies applying the MAPPs peptidomics technology to detect potential MHCI- or MHC-II epitopes as presented by dendritic cells (DC).
It features quality control of the raw data, across-sample/across-donor normalization and visualization of results in a heatmap style (heatMAPPs). dataMAPPs' core is a generic R library that can be tailored to specific projects via dedicated control scripts which also allow reproducible recalculation of results.
Consult README file for installation and usage instructions. Further documentation is supplied in PDF format.
dataMAPPs is published under GPL license by a team of scientists working for Hoffmann-La Roche AG in Basel, Switzerland. The software is provided as is, to hopefully benefit other researchers.
Related Publication in the Journal of Proteome Research:
DOI: 10.1021/acs.jproteome.0c00309
Features
- import of peptidomics data (PEAKS output, but may be extended)
- extensive data QC and sample exclusion by user definable cutoffs
- dedicated 2-step normalization procedure for MAPPs data
- mapping peptides to target antibody/protein
- clustering peptide mapping positions into hotspot epitope regions
- visualization of mapping results as heatmaps
Project Samples
