The evolution and mutational robustness of chromatin accessibility in Drosophila.

ABSTRACT:

Background

The evolution of genomic regulatory regions plays a critical role in shaping the diversity of life. While this process is primarily sequence-dependent, the enormous complexity of biological systems complicates the understanding of 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 species and tissues of Drosophila.

Results

We train hybrid convolution-attention neural networks to accurately predict ATAC-seq peaks using only local DNA sequences as input. We show that our models generalize well across substantially evolutionarily diverged species of insects, implying that the sequence determinants of accessibility are highly conserv

SUBMITTER: Khodursky S 

PROVIDER: S-EPMC10578003 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature