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A software suite for automatic treatment, analysis and plotting of large and multivariable datasets of bioNMR peaklists.

Project description

https://raw.githubusercontent.com/Farseer-NMR/FarSeer-NMR/master/docs/img/GitHub-FS_logo_version2_small.png

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

https://raw.githubusercontent.com/Farseer-NMR/FarSeer-NMR/master/docs/img/GitHub_Farseer-NMR_Workflow.png

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, Install and Update

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!

Documentation

The complete Farseer-NMR documentation is available on our Wiki page.

Participate in the Farseer-NMR development

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.

Social Media

Citing

Thanks for using Farseer-NMR!

If you are using Farseer-NMR, or any of its components, to analyze your NMR peaklist data, please cite our original article:

Teixeira, J.M.C., Skinner, S.P., Arbesú, M., Breeze, A.L., Pons, M. J Biomol NMR (2018) 71:1, 1-9. DOI 10.1007/s10858-018-0182-5)

Publications citing Farseer-NMR

  • Miguel Arbesú, MiquelPons. Integrating disorder in globular multidomain proteins: Fuzzy sensors and the role of SH3 domains. Archives of Biochemistry and Biophysics 2019, 677, 108161 https://doi.org/10.1016/j.abb.2019.108161.
  • Luca Mureddu, Geerten W. Vuister. Simple high‐resolution NMR spectroscopy as a tool in molecular biology. The FEBS Journal 2019, 286, issue 11, p2035 https://doi.org/10.1111/febs.14771.
  • Teixeira, J.M.C.; Fuentes, H.; Bielskutė, S.; Gairi, M.; Żerko, S.; Koźmiński, W.; Pons, M. The Two Isoforms of Lyn Display Different Intramolecular Fuzzy Complexes with the SH3 Domain. Molecules 2018, 23, 2731. https://doi.org/10.3390/molecules23112731)
  • Arbesú, M.; Iruela, G.; Fuentes, H.; Teixeira, J.M.C.; Pons, M. Intramolecular fuzzy interactions involving intrinsically disordered domains. Front. Mol. Biosci. 2018, 5, 39. DOI 10.3389/fmolb.2018.00039)
  • Arbesú, M. et al. (2017) The Unique Domain Forms a Fuzzy Intramolecular Complex in Src Family Kinases. Structure 25, 630–640.e4. 10.1016/j.str.2017.02.011)
  • Marimon, O. et. al. (2016). An oxygen-sensitive toxin–antitoxin system. Nature Communications, 7, 13634. https://doi.org/10.1038/ncomms13634)
  • Bijlmakers, M.-J., et.al. (2015) A C2HC zinc finger is essential for the RING-E2 interaction of the ubiquitin ligase RNF125. Scientific Reports, 6, 29232. https://doi.org/10.1038/srep29232)

Farseer-NMR on Google Citations) .. end-citing .. start-acknowledge

Acknowledgments

The Farseer-NMR Project wants to acknowledge to following people for their contributions to the project:

License

The entire Farseer-NMR project is distributed with no liability and is licensed under the GPL-3.0.

<a href=”https://www.gnu.org/licenses/gpl-3.0.en.html”><img src=”https://upload.wikimedia.org/wikipedia/commons/thumb/9/93/GPLv3_Logo.svg/1200px-GPLv3_Logo.svg.png” width=”75” height=”37”></a>

Versioning

This project follows strictly Semantic Versioning 2.0 for version control.

Changelog

v2

  • under development
  • added configuration files for CI and deployment
  • configured tox.ini
  • configured Travis-CI multiplaform, multi Python CI #316

v1

v0

  • pre-publication no JBioNMR, changes not tracked in detail.

Project details


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