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Metabolomics extensively utilizes Nuclear Magnetic Resonance (NMR) spectroscopy due to its excellent reproducibility and high throughput. Both one-dimensional (1D) and two-dimensional (2D) NMR spectra provide crucial information for metabolite annotation and quantification, yet present complex overlapping patterns which may require sophisticated machine learning algorithms to decipher.
Summary Background Factors influencing recurrence risk in primary Clostridioides difficile infection (CDI) are poorly understood, and tools predicting recurrence are lacking. Perturbations in bile acids (BAs) contribute to CDI pathogenesis and may be relevant to primary disease prognosis.
SMolESY: an efficient and quantitative alternative to on-instrument macromolecular 1H-NMR signal suppression† Panteleimon G. Takis, *ab Beatriz Jiménez,ab Caroline J. Sands,ab Elena Chekmenevaab and Matthew R.
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