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

Though data acquisition and initial signal preprocessing of nuclear magnetic resonance (NMR) spectra have achieved high degrees of automation, downstream processing─specifically the profiling of spectra─has bottlenecked the overall NMR analysis workflow. Several efforts have been made to mitigate this bottleneck, but these solutions often trade an increase in automation for limitations elsewhere. In this work, we introduce nmRanalysis, a user-friendly web application that integrates the strengths of existing profiling tools for a more automated profiling workflow. nmRanalysis additionally incorporates novel features, including a machine-learning-driven recommender system for metabolite identification, further increasing the utility of nmRanalysis over the individual tools that it incorporates.

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Publication Details

Journal
Analytical Chemistry
Published
2025-03-25
DOI
https://doi.org/10.1021/acs.analchem.4c05104
Citations
2
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
1.61

Funders

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article

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

Anastasiya V. Prymolenna, William Kew, L.A. Lewis, Natalie M. Winans et al.
2 citations
Analytical Chemistry
Metabolomics and Mass Spectrometry Studies
1.61
article

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

Anastasiya V. Prymolenna, William Kew, L.A. Lewis, Natalie M. Winans, Lisa Bramer, Elizabeth Eder, Robert Young, Javier E. Flores
article en
2 citations

Abstract

Though data acquisition and initial signal preprocessing of nuclear magnetic resonance (NMR) spectra have achieved high degrees of automation, downstream processing─specifically the profiling of spectra─has bottlenecked the overall NMR analysis workflow. Several efforts have been made to mitigate this bottleneck, but these solutions often trade an increase in automation for limitations elsewhere. In this work, we introduce nmRanalysis, a user-friendly web application that integrates the strengths of existing profiling tools for a more automated profiling workflow. nmRanalysis additionally incorporates novel features, including a machine-learning-driven recommender system for metabolite identification, further increasing the utility of nmRanalysis over the individual tools that it incorporates.

Analytical ChemistryVol. 97(13)
Pacific Northwest National Laboratory (US), Environmental Molecular Sciences Laboratory (US)
Biological and Environmental Research
Openalex Percentile: Top 18%
Metabolomics and Mass Spectrometry Studies
1.61
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