Introduction: Adoption of automatic profiling tools for 1H-NMR-based metabolomic studies still lags behind other approaches in the absence of the flexibility and interactivity necessary to adapt to the properties of study data sets of complex matrices.
Objectives: To provide an open source tool that fully integrates these needs and enables the reproducibility of the profiling process.
Methods: rDolphin incorporates novel techniques to optimize exploratory analysis, metabolite identification, and validation of profiling output quality.
Results: The information and quality achieved in two public datasets of complex matrices are maximized.
Conclusion: rDolphin is an open-source R package ( http://github.com/danielcanueto/rDolphin ) able to provide the best balance between accuracy, reproducibility and ease of use.
Keywords: Automatic profiling; Metabolite identification; NMR; Open-source software; Reproducibility.