ARPEGGIO: Automated Reproducible Polyploid EpiGenetic GuIdance workflOw.

Stefan MilosavljevicTony KuoSamuele DecarliLucas MohnJun SeseKentaro K ShimizuRie Shimizu-InatsugiMark D Robinson

Published in: BMC genomics (2021)

The goal of ARPEGGIO is to promote, support and improve polyploid research with a reproducible and automated set of analyses in a convenient implementation. ARPEGGIO is available at https://github.com/supermaxiste/ARPEGGIO .

Keyphrases

deep learning
machine learning
high throughput
dna methylation
primary care
gene expression
healthcare
quality improvement
electronic health record