ArticleMagnetic resonance in chemistry : MRC2025
Extracting Trends From NMR Data With TrAGICo: A Python Toolbox.
Article in Magnetic resonance in chemistry : MRC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- High-Resolution Relaxometry for Fragment Screening.Journal of medicinal chemistry · 2026Article
- The fine effects of high magnetic fields on hyperfine shifts.Chemical science · 2026Article
- Extracting Trends From NMR Data With TrAGICo: A Python Toolbox.Magnetic resonance in chemistry : MRC · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
In this tutorial, we present TrAGICo (Trends Analysis Guided Interfaces Collection), a Python collection of functions for the extraction and analysis of experimental parameters from 1D and pseudo-2D NMR spectra acquired on Bruker instruments. We demonstrate the application of TrAGICo through practical examples, highlighting its utility for various NMR applications, such as extraction of the chemical shift temperature dependence, relaxation studies, and reaction monitoring.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.