Month: August 2019

Byte sized content for the busy scientist

Fynd Science Analytics

PyMethylProcess – a preprocessing workflow for DNA methylation

Performing highly parallelized preprocessing of methylation array data using Python can accelerate data preparation for downstream methylation analyses, including large scale production-ready machine learning pipelines. We present a highly reproducible, scalable pipeline (PyMethylProcess) that can be quickly set-up and deployed through Docker and PIP.

Deep learning applications in everyday life

Deep learning in epigenomics and the new Python tool MethylNet

Deep learning models, designed for biology, will enhance our ability to study natural phenomena and disease states.