Running spell-check to identify regulatory variants.

Abstract excerpt

A major challenge in human genetics is pinpointing which non-coding genetic variants affect gene expression and disease risk. A new study in this issue describes a broadly applicable approach for this task that explicitly models cell type-specific regulatory motifs and generates variant effect predictions that are more accurate and interpretable than those of alternative tools.

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Regulatory Sequences, Nucleic Acid
• Share to Polymorphism, Single Nucleotide
• Share to Computational Biology