dataMAPPs

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

Typical heatMAPPs output, marking DC presented MHC epitopes on a target antibodies's sequence

Diagnostic plot visualizing the impact of normalization on a specific sample.

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

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dataMAPPs Web Site

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Additional Project Details

Operating Systems

Linux, Windows

Languages

English

Intended Audience

Science/Research

User Interface

Console/Terminal

Programming Language

S/R

Database Environment

Flat-file

Related Categories

S/R Bio-Informatics Software

Registered

2020-04-01

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