Our study on predicting expression variation is out – and on the cover of Mol. Sys. Biol.!
Using gene-specific regulatory features we could predict how genes vary across individuals in fly and humans. Read the full paper here or a short lay summary in the EMBL news.
Conserved genomic features predictive of gene expression variation across individuals are identified in Drosophila and human using a machine-learning approach. The same features predict differential expression upon perturbation revealing a link between variation and differential expression. Cover concept by the authors. (Scientific image by Scistories LLC, www.scistories.com)
