Attention Attention Attention
We are currently rewriting Farseer-NMR towards version 2.
Version 1 is still functional and working, though not much supported apart from minor bugs. You can download the latest stable version, v1.3.5, on the releases tab, or visit the complete version 1 code and its documentation in version 1 branch on GitHub.
Our original publication is available at JBioMolNMR, cite us if you use Farseer-NMR for your research, regardless of which version you use.
Please note that the master branch currently hosts the development of version 2, which is UNFINISHED software; again, please, refer to version 1 for a stable and functional release.
Farseer-NMR runs purely on volunteer work without any official assigned funds. All help is welcomed, engage with us!
Attention Attention Attention
A Python written, multi-platform and fully community-driven suite to analyse datasets of peaklist files extracted from multivariable series of Biomolecular Nuclear Magnetic Resonance (NMR) experiments.
With Farseer-NMR, you have:
- Automatic analysis of large and multivariable NMR peaklist files datasets
- Peaklist parsing and treatment
- Identification of missing and unassigned residues
- Automatic calculation of NMR parameters
- Comprehensive organization of the output
- Large suite of publication-ready plotting templates
- Full traceability via Markdown formatted log file.
Download here the latest version of Farseer-NMR.
To install Farseer-NMR simply run the installation script:
python install_farseernmr.py
Read here some additional detail on how to setup your Farseer-NMR installation - it's very easy!
The complete Farseer-NMR documentation is available on our Wiki page.
To contribute to the development of Farseer-NMR visit our GitHub project. If you are a user, share your experience in the issues tab (reporting bugs, suggestions or discussions); if you are a developer read our CONTRIBUTING guidelines.
- Post on our mailing list for questions, discussion and help!
- Follow us on Twitter @farseer_nmr
- Find us on Research Gate, where our seminars PDFs are available!
See how to cite Farseer-NMR here.
The entire Farseer-NMR code comes with no liability and is licensed under the GPL-3.0.
