Article

DeepSTARR predicts enhancer activity from DNA sequence and enables the <i>de novo</i> design of enhancers

2021-10-07

Abstract excerpt

Enhancer sequences control gene expression and comprise binding sites (motifs) for different transcription factors (TFs). Despite extensive genetic and computational studies, the relationship between DNA sequence and regulatory activity is poorly understood and enhancer de novo design is considered impossible. Here we built a deep learning model, DeepSTARR, to quantitatively predict the activities of thousands of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1a9f0c40-5071-5807-ab53-e9192ec34318
DOI: 10.1101/2021.10.05.463203

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

DeepSTARR predicts enhancer activity from DNA sequence and enables the <i>de novo</i> design of enhancersDOI 10.1101/2021.10.05.463203Read

Iterative deep learning-design of human enhancers exploits condensed sequence grammar to achieve cell type-specificitySemantic proximity Read

Enhancers display constrained sequence flexibility and context-specific modulation of motif functionSemantic proximity Read

EnhancerTracker: Comparing cell-type-specific enhancer activity of DNA sequence triplets via an ensemble of deep convolutional neural networksSemantic proximity Read

Short DNA sequence patterns accurately identify broadly active human enhancersSemantic proximity Read

Evolutionary conditioning enables guided generation of functionally diverse enhancersSemantic proximity Read

A cross-organism framework for supervised enhancer prediction with epigenetic pattern recognition and targeted validationSemantic proximity Read

High-Activity Enhancer Generation based on Feedback GAN with Domain Constraint and Curriculum LearningSemantic proximity Read

Genome-Wide Prediction of <i>cis</i> -Regulatory Regions Using Supervised Deep Learning MethodsSemantic proximity Read

Deep flanking sequence engineering for efficient promoter designSemantic proximity Read

EnhancerDetector: Enhancer Discovery from Human to Fly via Interpretable Deep LearningSemantic proximity Read

Cell type directed design of synthetic enhancersSemantic proximity Read

Transcription imparts architecture, function, and logic to enhancer unitsSemantic proximity Read