<img src="AMP_log.png" alt="logo" style="width: 200px;"/>

**AmpGram**  identifies antimicrobial peptides using [random forests](https://www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm) and [n-gram analysis](http://github.com/michbur/biogram).  

**Restrictions**:
* Be patient - calculations can take up to few minutes.  
* Up to 50 sequences may be analyzed at the same time using web server. If you need larger query, please use the [AmpGram](https://CRAN.R-project.org/package=AmpGram) package for **R**.

**Authors**: [Michal Burdukiewicz](https://github.com/michbur), Dominik Rafacz, Katarzyna Sidorczuk, Filip Pietluch

**Citation**:
Burdukiewicz, M., Sidorczuk, K., Rafacz, D., Pietluch, F., Chilimoniuk, J., Rödiger, S.  and Gagat, P. AmpGram: a proteome screening tool for prediction and design of antimicrobial peptides (in review).