Browse publically available datasets or search by dataset metadata (e.g., species, PI, etc.). Datasets are available for download as well as for online browsing of submitted identifications (for complete datasets). Dataset owners can also add missing/requested files, update metadata and add publications to their datasets. Registered users can comment on datasets so others in the community can see updates or find pointers to new analyses of the data.

Submit your data to share with the community as a MassIVE dataset; reviewer access credentials and ProteomeXchange identifiers can be requested to meet publication guidelines of proteomics datasets (documentation here). Additional workflows are also available to convert vendor raw files (mass spectrometry data) to the open mzML format and to convert from common tab-separated formats (identifications data) into the open mzTab format.

Search all submitted identifications in complete datasets and dataset reanalyses. Over 300 million peptide-spectrum matches submitted with at most 1% false discovery rate are accessible through this simple interface to search for peptides, proteins and post-translational modifications.

Reanalyze public datasets using online MassIVE workflows for analysis of mass spectrometry data: MSGF+ database search, MSPLIT spectral library search, MODa open modification search, Maestro spectral networks search and MSPLIT-DIA for search of data-independent acquisition (DIA) spectra.

Compare identification results between datasets or against any reanalyses of public data. Venn diagrams are used to compare results at the level of protein, peptide and spectrum identifications; agreements, disagreements and unique identifications can be interactively inspected for assessment of quality of identifications.

Share your dataset reanalysis results with the community: reveal new identifications with novel algorithms / analysis pipelines or challenge previously submitted identifications with alternative interpretations for the same data.

Explore the translated evidence and sequence coverage of nearly every human protein, as defined by systematic reanalysis of 31 terabytes of public data from >20,000 LC/MS runs and including over 1 million synthetic peptide spectra. Interactive exploration of protein evidence includes coverage maps, functional sites, and full provenance and dataset mapping of every identified peptide.

Browse the community big data derived MassIVE Knowledge Base (MassIVE-KB) peptide spectral libraries. Distilled from 31TB of human proteomics HCD data. Users can peak at the inside of these libraries, browse the source data, and track full provenance of analysis tasks that created these libraries. Please refer to the documentation.

MassIVE.quant is an extension of MassIVE to provide the opportunity for large-scale deposition of heterogeneous experimental datasets, and facilitate a community-wide conversation about the necessary extent of experiment documentation and the benefits of its use. MassIVE.quant supports various reproducibility scopes, such as the infrastructure to fully automate the workflow, to store, and to browse the intermediate results. In addition, MassIVE.quant provides a collection of consistently documented and analyzed benchmark datasets.