eLife assessment
This important manuscript uses a machine-learning approach to predict and annotate cis-regulatory elements across insect genomes, helping to address a much-needed gap in comparative genomics. This method does not rely on sequence alignments, thereby allowing functional genomics studies of more distant species, including emerging model organisms. There are nuanced views on the strength of the evidence from the predictions: the pipeline appears to be based on solid evidence, but the methods could be better described. We suggest the manuscript would be much more robust if the code used was accessible for review and validated further.