Articles | Volume 1, issue 2
https://doi.org/10.5194/mr-1-209-2020
https://doi.org/10.5194/mr-1-209-2020
Research article
 | 
01 Oct 2020
Research article |  | 01 Oct 2020

DeerLab: a comprehensive software package for analyzing dipolar electron paramagnetic resonance spectroscopy data

Luis Fábregas Ibáñez, Gunnar Jeschke, and Stefan Stoll

Viewed

Total article views: 6,769 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,688 1,952 129 6,769 517 164 220
  • HTML: 4,688
  • PDF: 1,952
  • XML: 129
  • Total: 6,769
  • Supplement: 517
  • BibTeX: 164
  • EndNote: 220
Views and downloads (calculated since 09 Jun 2020)
Cumulative views and downloads (calculated since 09 Jun 2020)

Viewed (geographical distribution)

Total article views: 6,769 (including HTML, PDF, and XML) Thereof 6,274 with geography defined and 495 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 09 May 2026
Download
Short summary
Dipolar electron paramagnetic resonance spectroscopy methods such as DEER provide data on how proteins change shape, thus giving detailed insight into how proteins work. We present DeerLab, a comprehensive open-source software for reliably analyzing the associated data. The software implements a series of theoretical and algorithmic innovations and thereby improves the quality and reproducibility of data analysis.
Share