Supplementary code of Cox et al., 2019

Analysis of 1D and 2D NMR titration experiments.

NMR data processing software

The MetaRbolomics book. A review of R packages in BioC, CRAN, gitlab and github.

An open source framework for n-dimensional hypercomplex calculations for NMR

Google Summer of Code (GSoC) 2021 project weekly updates.

A dalliance with C++17 TMP for NMR processing

Bash script for automatic renaming of Bruker NMR datasets with problematic names (ending-in-a-period, identical-to-another-except-for-case) once the data is finished acquiring.

SIのための1H NMRのケミカルシフト及びスピン結合定数の計算

A pipeline to infer metabolite concentrations from 1D NMR data using BATMAN (Bayesian AuTomated Metabolite Analyser for NMR)

Collection of data processing functions for 1D and 2D NMR data.

The implementation, training and evaluation of a Structure Seer machine learning model designed for reconstruction of adjacency of a molecular graph from the labelling of its nodes.

Home to the GEneral Microspeciation Solver

Bash script for monitoring ICON-NMR sessions on multiple NMR instruments and sending emails to the NMR manager and/or users when things go wrong.

Python implementation of FLINT algorithm for NMR relaxation data.

Petrophysic is a Python library developed to assist in the processing of Nuclear Magnetic Resonance (NMR) data, obtaining parameters such as porosity, T2 components, and permeability, as well as providing tools for data visualization. This project is part of a postgraduate work and aims to provide efficient tools for relaxation data analysis.

nmrXiv is currently developed as the FAIR, consensus-driven NMR data repository and computational platform. The ultimate goal is to accelerate broader coordination and data sharing among researchers by enabling storage, management, sharing and analysis of NMR data.

Lightweight implementation of rsync specifically designed to regularly copy Bruker NMR datasets from instrument computers to a server.

A package for the management of NMR data

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python