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22 changes: 22 additions & 0 deletions README.md
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![de.NBI Logo](https://raw.githubusercontent.com/mpc-bioinformatics/ProtGraph/master/resources/denbi-logo-color.svg)

If you used ProtGraph please take the time to answer [our short survey](https://de.surveymonkey.com/r/denbi-service?sc=bioinfra-prot&tool=ProtGraph) to help us improve de.NBI services.


## Citing / Publication

If you use ProtGraph in your work, please cite: [https://doi.org/10.1093/bib/bbae671](https://doi.org/10.1093/bib/bbae671)

> Lux, Dominik, et al. "ProtGraph: a tool for the quick and comprehensive exploration and exploitation of the peptide search space derived from protein sequence databases using graphs." Briefings in Bioinformatics 26.1 (2025): bbae671.

```bibtex
@article{lux2025protgraph,
title={ProtGraph: a tool for the quick and comprehensive exploration and exploitation of the peptide search space derived from protein sequence databases using graphs},
author={Lux, Dominik and Marcus-Alic, Katrin and Eisenacher, Martin and Uszkoreit, Julian},
journal={Briefings in Bioinformatics},
volume={26},
number={1},
pages={bbae671},
year={2025},
publisher={Oxford University Press}
}
```


## Summary

ProtGraph in short is a python-package, which allows to convert protein-entries from the [UniProtKB](https://www.uniprot.org/) to so-called protein-graphs. We use the [SP-EMBL-Entries](https://web.expasy.org/docs/userman.html), provided by UniProtKB via `*.txt` or `*.dat`-files, and parse the available feature-information. In contrast to a FASTA-file-entry of a protein, a SP-EMBL-file-entry is
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