DNPLab is a collaborative project created by:
Authors: Timothy Keller, Yen-Chun Huang, Karl Rieger, John Franck, Thorsten Maly, Songi Han
Alumnis: Thomas Casey, Yanxian Lin
DNPLab is an object-oriented Open Source Python-based package for importing, processing, and analyzing data determined in a Dynamic Nuclear Polarization (DNP) or Electron Paramagnetic Resonance (EPR) experiment.
- Import many different NMR data formats (Topspin, VnmrJ, Prospa, ...)
- Create N-dimensional data objects
- Easy processing of NMR data (apodization, zero-filling, Fourier transformations, alignment, ...)
- Analyze data using the specific modules
DNPLab can be easily installed via pip:
pip install dnplab
Find the online documentation at: http://docs.dnplab.net
- Clone the git repository from https://github.com/DNPLab/dnplab