Genomics reboots deep learning

A'new deep learning' method, DeepCpG, designed by researchers at EMBL-EBI, the Babraham Institute and the Sanger Institute helps scientists better understand the epigenome – the biochemical activity around the genome. Published in Genome Biology, DeepCpG leverages'deep neural networks', a multi-layered machine learning model inspired by the brain. Machine learning provides a valuable tool for research into health and disease. Deep learning is one of the most active fields in machine learning, which has led to recent advancements in computer image classification, text translation and speech recognition. But deep learning also has major potential in computational biology, particularly for regulatory genomics and cellular imaging. "We now have this amazing'book' of the human genome, thanks to projects like 1000 Genomes, divided up nicely into chapters and annotated in parts.