Standalone Web Application Deployment

standalone-web-application-deployment

License: restricted — no clear open-source license detected for the underlying tool; verify licensing before commercial use or redistribution.

Summary

Deploy domain-specific MASST standalone web applications that accept single mass spectra as input and perform searches against curated, domain-specific reference databases. This skill enables researchers to set up and validate spectral search infrastructure for microbe, plant, tissue, microbiome, or food metabolomics queries.

When to use

Use this skill when you have cloned the GNPS_MASST codebase and need to instantiate a domain-specific MASST variant (microbeMASST, plantMASST, tissueMASST, microbiomeMASST, or foodMASST) to accept individual MS/MS spectra as input queries and perform searches against the corresponding curated reference library indexed in that domain.

When NOT to use

• Input spectra are already in a pre-computed similarity matrix or feature table format; deploy only if you need to execute new single-spectrum searches.
• You need to batch-process multiple spectra simultaneously; use the batch search workflow via jobs.py and the Fast Search API instead of the single-spectrum standalone web application.
• The target domain (microbe, plant, tissue, microbiome, food) is not covered by the available domainMASSTs; this skill applies only to those five domains currently under development.

Inputs

• GNPS_MASST repository (source code)
• Domain-specific MASST repository (e.g., robinschmid/microbe_masst)
• Single MS/MS spectra in .mgf format or USI identifiers
• Domain-specific reference database index (microbe, plant, tissue, microbiome, or food lineage data)

Outputs

• Deployed standalone web application instance accessible via web endpoint
• Interactive HTML tree files for domain-specific search results (e.g., _microbe.html)
• JSON files representing search result trees
• Aggregated _matches.tsv file with matched scans and metadata
• _library.tsv file with GNPS library matches for Level 2 annotation
• _datasets.tsv file with unique sample counts per indexed dataset
• Domain-specific _count_domain.tsv files with match counts per MASST

How to apply

Clone both the GNPS_MASST repository (which contains the standalone web application framework) and the domain-specific implementation (e.g., robinschmid/microbe_masst for microbeMASST). Extract and configure the codebase to ensure spectral search indexing and domain-specific reference library integration are active. Deploy the standalone application to a web server or local environment to accept single-spectrum input queries. Configure search parameters such as minimum cosine score and m/z tolerance according to your analysis requirements. Validate that search outputs are correctly formatted and can be aggregated and visualized downstream using metadataMASST for cross-domain comparisons.

Related tools

• GNPS_MASST (Provides the core standalone web application framework and spectral search indexing code for all domain-specific MASST deployments) — https://github.com/mwang87/GNPS_MASST
• microbeMASST (Domain-specific MASST implementation for microbial metabolomics; contains reference database configuration and taxonomic lineage data for 8 kingdoms, 20 phyla, 48 classes, 124 orders, 278 families, 561 genera, 1379 species, and 542 strains) — https://github.com/robinschmid/microbe_masst
• metadataMASST (Aggregates and visualizes search outputs across multiple domain-specific MASSTs for cross-domain comparative analysis)
• GNPS libraries (Reference spectral library integrated into the deployment to enable Level 2 annotation of matches) — https://library.gnps2.org/
• MZmine (Generates .mgf input files that can be searched against deployed standalone web applications) — https://github.com/mzmine/mzmine

Evaluation signals

• Deployed web application responds to single-spectrum HTTP requests without error and returns search results within expected timeout
• Search result JSON structure matches the defined schema with interactive HTML tree visualization rendering without browser errors
• Output files (_matches.tsv, _library.tsv, _datasets.tsv, _count_domain.tsv) are generated and contain non-empty rows with expected column structure and metadata integrity
• Cosine similarity scores for matched spectra fall within the configured range (e.g., minimum cosine score threshold is respected in output filtering)
• Aggregated outputs can be successfully parsed and visualized by metadataMASST without data loss or format incompatibility

Limitations

• The Fast Search API underlying batch searches may produce incomplete results on first run; multiple sequential re-runs with skip_existing=True are necessary to capture all possible matches across indexed data.
• Deployment requires Python 3.10 specifically; incompatible Python versions will cause execution failures.
• Standalone web applications accept only one spectrum at a time; batch processing of multiple spectra requires the separate jobs.py workflow and Fast Search API.
• Coverage is limited to five domains (microbe, plant, tissue, microbiome, food); other biological domains or specialized metabolite classes are not supported.
• Search results include all indexed spectra in GNPS/MassIVE, Metabolomics Workbench, Metabolights, and NORMAN, not only curated domain-specific samples; filtering by domain may be required downstream.

Evidence

• [other] microbeMASST is implemented as a standalone web application that accepts individual mass spectra as input and performs searches against a microbe-specific reference database: "microbeMASST is implemented as a standalone web application that accepts individual mass spectra as input and performs searches against a microbe-specific reference database"
• [other] Clone the GNPS_MASST repository and domain-specific implementation, extract and configure codebase, deploy to accept single-spectrum input, and validate search outputs: "1. Clone the GNPS_MASST repository from https://github.com/mwang87/GNPS_MASST and the microbeMASST-specific implementation from github.com/robinschmid/microbe_masst. 2. Extract and configure the"
• [readme] The code for the different standalone web applications, which allow users to search one spectrum at a time, can be found in GNPS_MASST: "The code for the different standalone web applications, which allow users to search one spectrum at a time, can be found in GNPS_MASST"
• [readme] Aggregated search outputs can be generated and visualized using metadataMASST: "Aggregated search outputs can be generated and visualized using metadataMASST"
• [readme] Domain-specific MASSTs currently under development in the Dorrestein Lab include microbeMASST, plantMASST, tissueMASST, microbiomeMASST, and foodMASST: "This includes microbeMASST, plantMASST, tissueMASST, microbiomeMASST, and foodMASST"
• [readme] Running jobs.py allows users to leverage the Fast Search API and execute a batch search of multiple MS/MS spectra against current indexed data and generate multiple outputs for all listed domainMASSTs simultaneously: "Running jobs.py allows users to leverage the Fast Search API and execute a batch search"
• [readme] Check and adjust parameters for the search, such as minimum cosine score, mz tolerance, and number of minimum matching peaks: "Check and adjust the different parameters for the search, such as minimum cosine score, mz tolerance, and number of minimum matching peaks based on your research question"
• [readme] Make sure to run jobs.py a couple of times until no new output is generated, with skip_existing=True, because some entries may fail on the first run: "Make sure to run jobs.py a couple of times, until no new output is generated by having the option: skip_existing=True."
• [readme] Please make sure to use Python 3.10: "Please make user to use Python 3.10"