ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2011
A covariance NMR toolbox for MATLAB and OCTAVE.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- COLMARvista: an open source 2D and pseudo-3D NMR spectral processing, visualization, and analysis software in JavaScript.Journal of biomolecular NMR · 2025Article
- Application of CoLD-CoP to Detecting Competitively and Cooperatively Binding Ligands.Biomolecules · 2024Article
- Signal Deconvolution and Noise Factor Analysis Based on a Combination of Time-Frequency Analysis and Probabilistic Sparse Matrix Factorization.International journal of molecular sciences · 2020Article
- Effortless assignment with 4D covariance sequential correlation maps.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2015Article
- Assignment of methyl NMR resonances of a 52 kDa protein with residue-specific 4D correlation maps.Journal of biomolecular NMR · 2015Article
- Facilitated assignment of large protein NMR signals with covariance sequential spectra using spectral derivatives.Journal of the American Chemical Society · 2014Article
- A fast NMR method for resonance assignments: application to metabolomics.Journal of biomolecular NMR · 2014Article
- Nmrglue: an open source Python package for the analysis of multidimensional NMR data.Journal of biomolecular NMR · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The Covariance NMR Toolbox is a new software suite that provides a streamlined implementation of covariance-based analysis of multi-dimensional NMR data. The Covariance NMR Toolbox uses the MATLAB or, alternatively, the freely available GNU OCTAVE computer language, providing a user-friendly environment in which to apply and explore covariance techniques. Covariance methods implemented in the toolbox described here include direct and indirect covariance processing, 4D covariance, generalized indirect covariance (GIC), and Z-matrix transform. In order to provide compatibility with a wide variety of spectrometer and spectral analysis platforms, the Covariance NMR Toolbox uses the NMRPipe format for both input and output files. Additionally, datasets small enough to fit in memory are stored as arrays that can be displayed and further manipulated in a versatile manner within MATLAB or OCTAVE.
Indexed as
Identifiers
What OpenQuestion holds
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.