Helixer: Cross-species gene annotation of large eukaryotic genomes using deep learning.

ABSTRACT: Current state-of-the-art tools for the de novo annotation of genes in eukaryotic genomes have to be specifically fitted for each species and still often produce annotations that can be improved much further. The fundamental algorithmic architecture for these tools has remained largely unchanged for about two decades, limiting learning capabilities. Here, we set out to improve the cross-species annotation of genes from DNA sequence alone with the help of deep learning. The goal is to eliminate the dependency on a closely related gene model while also improving the predictive quality in general with a fundamentally new architecture. We present Helixer, a framework for the development and usage of a cross-species deep learning model that improves significantly on performance and generalizabil

SUBMITTER: Stiehler F 

PROVIDER: S-EPMC8016489 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature