Ctrl K

compareMS2

compareMS2 is a tool for direct comparison of tandem mass spectrometry (MS/MS) datasets, typically from LC-MS/MS, in proteomics or metabolomics, defining a distance as a function of the share of similar spectra. Applications span biomedicine, phylogenetics, forensics, ecology and food science.

42
mentions
4
contributors
Get started
347 commitsLast commit ≈ 8 months ago4 stars2 forks

Description

compareMS2 calculates the similarity between tandem mass spectrometry datasets and visualizes the results in a phylogenetic tree.

  • Only mass spectrometry data is needed
  • Relative distances between samples immediately become clear
  • A Graphical User Interface simplifies usage
  • Optionally, sample files can be mapped to species names
  • Phylogenetic trees can be saved in several graphics file formats for direct use in publications
  • Input consists of MS2 data in MGF format
  • Output file formats are compatible with common phylogenetic tree software (for instance MEGA) for further analysis and visualization
Logo of compareMS2
Keywords
Programming languages
  • JavaScript 95%
  • HTML 3%
  • CSS 1%
  • Shell 1%
License
</>Source code
Software Heritage
Archived | swh:1:dir:4727e1dab59d4770c72c0ce14d9fefd4c9d1e8e3

Participating organisations

Leiden University Medical Center
Hollings Marine Laboratory
Norwegian Institute of Marine Research

Reference papers

Mentions

Testimonials

In a 2019 paleoproteomic study (Horn et al., Zool J Linn Soc 186:3, pp. 650–665), compareMS2 was critical for turning complex MS/MS data from ancient and modern bird bones into reliable taxonomic evidence. By enabling robust comparison of peptide spectra across specimens and extractions, it supported confident identification of COL1A1/COL1A2 sequence variation and helped place the dodo, great auk and other birds in phylogenetically meaningful clades, complementing DNA-based classification.
Ivo R. Horn, PhD molecular biology
CompareMS2 is a valuable tool with considerable potential for comparing proteomic datasets from non-model organisms. It has been invaluable for our species identification work on fur. It enables direct, transparent comparison of MS/MS spectra, helping distinguish homologous peptide markers across closely related taxa and degraded forensic samples. Its ability to support peptide-level evidence makes it an important tool for translating protein mass spectrometry data into species identifications.
Glendon Parker, Department of Environmental Toxicology, University of California, Davis
The compareMS2 software provides a surprisingly simple and intuitive framework for comparing tandem mass spectra, regardless of their origin. For example, we used it to compare meat and meat products from a range of mammalian species in the wake of the horse meat scandal. This work was also reported in a major newspaper. The "spectral matching" approach is very simple, and does not need any other data than the mass spectra themselves.
Professor Jonas Bergquist, Uppsala University
I use CompareMS2 as a framework to assess spectral similarity between mass spec datasets using reference samples. Because the approach is based on spectral distance rather than predefined labels, it is easy to tweak to different experimental settings, instrument platforms, or sample types. In particular it is useful for retrospective metadata extraction and validation.
Dr. Tine Claeys, Post-doctoral researcher, University of Ghent

Contributors

Magnus Palmblad
Principal Investigator
Leiden University Medical Center
Rob Marissen
Rob Marissen
Lead Developer
Leiden University Medical Center
Benjamin Neely
Benjamin Neely
Collaborator
National Institute of Standards and Technology
Madhushri S. Varunjikar
Madhushri S. Varunjikar
Tester & User
Institute of Marine Research

Related projects

CLIMESEAFOOD: Climate change and impact on critical contaminants and lipids in Arctic Seafood

CLIMESEAFOOD models climate-driven changes in marine food webs and contaminant bioaccumulation, improves understanding of trophic transfer and seafood safety, assesses high-latitude ecosystem responses, and evaluates future seafood risks under climate and fisheries scenarios.

Updated 1 week ago
In progress