Evaluation of experiment performances and biases
MetaPepView provides a number of tools to perform evaluation and benchmarking of metaproteomics experiments. Two modules are dedicated to evaluation of metaproteomics experiments:
- The Experimental performance module: Visualization and benchmarking of experimental performance parameters from spectral data (mzML) + proteomics data.
- The Evaluate community composition module: Validate database quality used in DB search matching by comparing taxonomy composition from DB search matching + local db annotation against taxonomy composition from peptides (DB search and de novo) annotated by Unipept.
Experiment evaluation modules highlighted in the sidebar
In addition to dedicated experiment evaluation modules, MetaPepView provides a tool for investigation potential over- or underrepresentation of taxa in community compositions: the Taxonomic drop-off. This tool is part of the Community composition module.