PeakForest

PeakForest catalogs spectral mass spectrometry (MS) and nuclear magnetic resonance (NMR) data with structured metadata to support metabolite identification and interoperability across laboratories and public databases.

Key Features:

• Multi-Platform Compatibility: Supports nuclear magnetic resonance (NMR) and mass spectrometry (MS) for multiple experimental setups.
• Java-based Programmatic Interfaces: Implements Java-based programmatic interfaces and backend components for laboratory installation.
• Data Quality and Interoperability: Implements standardized operating procedures and file formats aligned with international recommendations and FAIR (Findable, Accessible, Interoperable, Reusable) principles to ensure data quality and interoperability.
• Comprehensive Metadata Management: Captures and stores experimental spectral MS and NMR metadata alongside signal annotations in a structured database for curation and reuse.
• Modular System Design: Modular architecture organizes spectral data for intra- and inter-laboratory sharing and integration into public databases.
• Integration with Data Analysis Pipelines: Compatible with bespoke data analysis pipelines within the Galaxy environment.

Scientific Applications:

• Spectral Annotation and Metabolite Identification: Supports large-scale spectral annotation and metabolite identification from MS and NMR data.
• Laboratory Data Centralization and Collaboration: Centralizes laboratory spectral data and metadata to enable curation and collaboration across research groups and institutions.
• Public Database Integration and Data Reuse: Facilitates integration of curated spectral records into public databases to support data sharing and reuse.

Methodology:

Implements structured operating procedures and standardized file formats; captures MS and NMR spectral metadata and signal annotations; uses a Java-based backend and programmatic interfaces and a backend architecture for data handling, annotation, exchange, and integration with Galaxy and public databases.