The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Nmrglue: an open source Python package for the analysis of multidimensional NMR data
Open accessAbstract
Nmrglue, an open source Python package for working with multidimensional NMR data, is described. When used in combination with other Python scientific libraries, nmrglue provides a highly flexible and robust environment for spectral processing, analysis and visualization and includes a number of common utilities such as linear prediction, peak picking and lineshape fitting. The package also enables existing NMR software programs to be readily tied together, currently facilitating the reading, writing and conversion of data stored in Bruker, Agilent/Varian, NMRPipe, Sparky, SIMPSON, and Rowland NMR Toolkit file formats. In addition to standard applications, the versatility offered by nmrglue makes the package particularly suitable for tasks that include manipulating raw spectrometer data files, automated quantitative analysis of multidimensional NMR spectra with irregular lineshapes such as those frequently encountered in the context of biomacromolecular solid-state NMR, and rapid implementation and development of unconventional data processing methods such as covariance NMR and other non-Fourier approaches. Detailed documentation, install files and source code for nmrglue are freely available at http://nmrglue.com. The source code can be redistributed and modified under the New BSD license.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016
Matplotlib: a 2D graphics environment
Hunter, J. D. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.55 · Cited by 39,249
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
NMRPipe: A multidimensional spectral processing system based on UNIX pipes
Delaglio, F., Grzesiek, S., Vuister, G., Zhu, G., Pfeifer, J., & Bax, A. (1995) · Journal of Biomolecular NMR · doi:10.1007/bf00197809 · Cited by 15,965
Statsmodels: Econometric and Statistical Modeling with Python
Seabold, S., & Perktold, J. (2010) · Proceedings of the Python in Science Conference · doi:10.25080/majora-92bf1922-011 · Cited by 6,465
Biopython: freely available python tools for computational molecular biology and bioinformatics
Cock, P. J. A., Antao, T., Chang, J. T., Chapman, B. A., Cox, C. J., Dalke, A., Friedberg, I., Hamelryck, T., Kauff, F., Wilczynski, B., et al. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp163 · Cited by 6,080
IPython: A System for Interactive Scientific Computing
Perez, F., & Granger, B. E. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.53 · Cited by 4,009
Nicholson, J. K., Lindon, J. C., & Holmes, E. (1999) · Xenobiotica · doi:10.1080/004982599238047 · Cited by 3,895
Python for scientific computing
Oliphant, T. E. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.58 · Cited by 3,303 · cited 2×
“community in general and the NMR community in particular is the NumPy module (Oliphant 2007), which adds support for the efficient handling of multidimensional arrays and provides a large library of mathematical functions that operate on these arrays at speeds comparable to compiled programming languages.”
BackgroundThe CCPN data model for NMR spectroscopy: Development of a software pipeline
Vranken, W. F., Boucher, W., Stevens, T. J., Fogh, R. H., Pajon, A., Llinas, M., Ulrich, E. L., Markley, J. L., Ionides, J., & Laue, E. D. (2005) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20449 · Cited by 3,209
Cited by
ssNake: A cross-platform open-source NMR data processing and fitting application
van Meerten, S. G. J., Franssen, W. M. J., & Kentgens, A. P. M. (2019) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2019.02.006 · Cited by 286
Schwichtenberg, T., Bogdan, D., Carignan, C. C., Reardon, P., Rewerts, J., Wanzek, T., & Field, J. A. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c05697 · Cited by 91
Dickwella Widanage, M. C., Gautam, I., Sarkar, D., Mentink-Vigier, F., Vermaas, J. V., Ding, S.-Y., Lipton, A. S., Fontaine, T., Latgé, J.-P., Wang, P., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50799-8 · Cited by 70
Karunanithy, G., Shukla, V. K., & Hansen, D. F. (2024) · Nature Communications · doi:10.1038/s41467-024-49378-8 · Cited by 26
Karunanithy, G., Shukla, V. K., & Hansen, D. F. (2023) · doi:10.1101/2023.09.15.557823 · Cited by 4
Metadata
- Authors
- Helmus, J. J., & Jaroniec, C. P.
- Venue
- Journal of Biomolecular NMR
- Published
- 2013-03-02
- Volume
- 55
- Issue
- 4
- Pages
- 355-367
- ISSN
- 0925-2738 (ISSN-L)
- 1573-5001
- OpenAlex
- W2037662038
- Cited by
- 383
- References
- 44
- Type
- software paper
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nmrglue: an open source Python package for the analysis of multidimensional NMR data. https://app.cochat.ai/papers/10.1007/s10858-013-9718-x
- The paper
- Helmus, J. J., & Jaroniec, C. P. (2013). Nmrglue: an open source Python package for the analysis of multidimensional NMR data. Journal of Biomolecular NMR. https://doi.org/10.1007/s10858-013-9718-x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
