Quantitative NMR analysis through least-squares fit of spectroscopy data
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Updated
Jan 29, 2020 - Python
Quantitative NMR analysis through least-squares fit of spectroscopy data
Tools for quantitative analysis of nuclear magnetic resonance (NMR) spectra using the Wasserstein metric.
Estimation of extracellular fluxes and growth rate
Post-processing tool-set for ab-intio calculations using VASP.
A progressive web app for fast, real-time solid-state NMR line-shape simulation.
Data for magnetstein paper & web application. For more info see: https://github.com/BDomzal/magnetstein.
MagresView, a JavaScript, JMol-based viewer for computed NMR data in the Magres file format.
NMR text generator for Supporting Information of scientific papers
Archive of Varian EM-360 / EM-390 Nuclear Magnetic Resonance ( NMR ) Spectrometers + FT-NMR Upgrades
IsoDesign is a scientific tool to design 13C-fluxomics experiments.
NMR spectroscopy calculations for protein structures
Variationally Reweighted Least Squares
The excitation, precession, and return to equilibrium of hydrogen nuclei were modelled and used to reconstruct a 1-dimensional object defined by its spatial 𝑇2∗ parameter variation.
Calculate Flux Dynamics from Dynamic Concentrations of Metabolites
Employing Magnetstein for the analysis of chemical reactions.
Solving SuDoKu with backprop and take an NMR of it while at it
Research for the Poon Molecular Biophysics Lab at Georgia State University
Python implementation of the Sinusoidal weighted Poisson-Gap Sampling algorithm by Hyberts (2010)
Fiddling with nmr spectra subtraction
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