Supplementary code of Cox et al., 2019

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

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.

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

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

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

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.

NMR data processing software

Analysis of 1D and 2D NMR titration experiments.

A package for the management of NMR 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.

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.

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

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

Home to the GEneral Microspeciation Solver

A dalliance with C++17 TMP for NMR processing

Python implementation of FLINT algorithm for NMR relaxation data.

SpinPlots is a Python package built on top of NMRglue, designed to simplify the process of plotting NMR data.

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.

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