Deep learning

Perspective (graphical)

Organic chemistry

Genomics

Biology

Gene

Genome

Artificial intelligence

Chemistry

Class (philosophy)

Data science

Primer (cosmetics)

Computer science

Computational biology

Genetics

Nature Genetics

Deep learning methods are a class of machine learning techniques capable of identifying highly complex patterns in large datasets. Here, we provide a perspective and primer on deep learning applications for genome analysis. We discuss successful applications in the fields of regulatory genomics, variant calling and pathogenicity scores. We include general guidance for how to effectively use deep learning methods as well as a practical guide to tools and resources. This primer is accompanied by an interactive online tutorial. This perspective presents a primer on deep learning applications for the genomics field. It includes a general guide for how to use deep learning and describes the current tools and resources that are available to the community.

A primer on deep learning in genomics