The evolution and mutational robustness of chromatin accessibility in Drosophila.

ABSTRACT: The evolution of regulatory regions in the genome plays a critical role in shaping the diversity of life. While this process is primarily sequence-dependent, the enormous complexity of biological systems has made it difficult to understand the factors underlying regulation and its evolution. Here, we apply deep neural networks as a tool to investigate the sequence determinants underlying chromatin accessibility in different tissues of Drosophila. We train hybrid convolution-attention neural networks to accurately predict ATAC-seq peaks using only local DNA sequences as input. We show that a model trained in one species has nearly identical performance when tested in another species, implying that the sequence determinants of accessibility are highly conserved. Indeed, model performa

SUBMITTER: Khodursky S 

PROVIDER: S-EPMC10327059 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature