MotEvo wrapper

For one of my projects, I used MotEvo, MotEvo (Arnold et al. 2012) is a Bayesian probabilistic model for prediction of transcription factor binding sites (TFBSs) for a given set of position weight matrices (PWMs) and DNA sequences. It was developed by van Nimwegen lab at the Biozentrum (University of Basel, Switzerland) and it can be acquired here.

I recently wrote a simple wrapper for MotEvo to be ran in Python. I also went ahead and published it to PyPi server so it can be installed by simply running:

pip install motevowrapper

More details (with full documentation hopefully soon) can be found on the repository page.

For all questions or comments, feel free open an issue or drop me an email.

References

1. Arnold, Phil, et al. “MotEvo: integrated Bayesian probabilistic methods for inferring regulatory sites and motifs on multiple alignments of DNA sequences.” Bioinformatics 28.4 (2012): 487-494.