nmRanalysis: An Open-Source Web Application for Semi-automated NMR Metabolite Profiling

Area of Science:

• Analytical Chemistry
• Biochemistry
• Computational Biology

Background:

• Nuclear Magnetic Resonance (NMR) spectral data acquisition and preprocessing are automated.
• Downstream spectral profiling remains a bottleneck in NMR analysis workflows.
• Existing solutions for profiling automation often introduce other limitations.

Purpose of the Study:

• To develop a user-friendly web application, nmRanalysis, for automated NMR spectral profiling.
• To integrate existing profiling tools and introduce novel features to enhance the NMR analysis workflow.
• To address the bottleneck in downstream NMR data processing.

Main Methods:

• Development of a web application integrating multiple NMR spectral profiling tools.
• Implementation of a machine-learning-driven recommender system for metabolite identification.
• User-friendly interface design for streamlined analysis.

Main Results:

• nmRanalysis provides a more automated spectral profiling workflow.
• The application successfully integrates strengths of existing tools.
• The novel recommender system enhances metabolite identification accuracy and efficiency.

Conclusions:

• nmRanalysis offers a significant improvement over individual profiling tools.
• The application effectively mitigates the downstream processing bottleneck in NMR analysis.
• nmRanalysis enhances the overall utility and automation of NMR data analysis.