Decoding enhancer complexity with machine learning and high-throughput discovery.
Ontology highlight
ABSTRACT:
SUBMITTER: Smith GD
PROVIDER: S-EPMC10176946 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature
Publications
Decoding enhancer complexity with machine learning and high-throughput discovery.
Smith Gabrielle D GD Ching Wan Hern WH Cornejo-Páramo Paola P Wong Emily S ES
Genome biology 20230512 1
Enhancers are genomic DNA elements controlling spatiotemporal gene expression. Their flexible organization and functional redundancies make deciphering their sequence-function relationships challenging. This article provides an overview of the current understanding of enhancer organization and evolution, with an emphasis on factors that influence these relationships. Technological advancements, particularly in machine learning and synthetic biology, are discussed in light of how they provide new ...[more]
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