DIRECT-NET: An efficient method to discover cis-regulatory elements and construct regulatory networks from single-cell multiomics data

L Zhang, J Zhang, Q Nie - Science advances, 2022 - science.org
The emergence of single-cell multiomics data provides unprecedented opportunities to
scrutinize the transcriptional regulatory mechanisms controlling cell identity. However, how …

Integrative approaches based on genomic techniques in the functional studies on enhancers

Q Wang, J Zhang, Z Liu, Y Duan… - Briefings in …, 2024 - academic.oup.com
With the development of sequencing technology and the dramatic drop in sequencing cost,
the functions of noncoding genes are being characterized in a wide variety of fields (eg …

Pig-eRNAdb: a comprehensive enhancer and eRNA dataset of pigs

Y Wang, W Jin, X Pan, W Liao, Q Shen, J Cai, W Gong… - Scientific Data, 2024 - nature.com
Enhancers and the enhancer RNAs (eRNAs) have been strongly implicated in regulations of
transcriptions. Based the multi-omics data (ATAC-seq, ChIP-seq and RNA-seq) from public …

A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding

W Hu, Y Li, Y Wu, L Guan, M Li - Iscience, 2024 - cell.com
Enhancers, genomic DNA elements, regulate neighboring gene expression crucial for
biological processes like cell differentiation and stress response. However, current machine …

[HTML][HTML] Validation of Enhancer Regions in Primary Human Neural Progenitor Cells using Capture STARR-seq

SC Gaynor-Gillett, L Cheng, M Shi, J Liu, G Wang… - bioRxiv, 2024 - ncbi.nlm.nih.gov
Genome-wide association studies (GWAS) and expression analyses implicate noncoding
regulatory regions as harboring risk factors for psychiatric disease, but functional …

Deep learning predicts the impact of regulatory variants on cell-type-specific enhancers in the brain

A Zheng, Z Shen, CK Glass… - Bioinformatics Advances, 2023 - academic.oup.com
Motivation Previous studies have shown that the heritability of multiple brain-related traits
and disorders is highly enriched in transcriptional enhancer regions. However, these …

scEpiLock: A Weakly Supervised Learning Framework for cis-Regulatory Element Localization and Variant Impact Quantification for Single-Cell Epigenetic Data

Y Gong, SS Srinivasan, R Zhang, K Kessenbrock… - Biomolecules, 2022 - mdpi.com
Recent advances in single-cell transposase-accessible chromatin using a sequencing
assay (scATAC-seq) allow cellular heterogeneity dissection and regulatory landscape …

Computational methods for identifying enhancer‐promoter interactions

H Gong, Z Chen, Y Tang, M Li, S Zhang… - Quantitative …, 2023 - Wiley Online Library
Background As parts of the cis‐regulatory mechanism of the human genome, interactions
between distal enhancers and proximal promoters play a crucial role. Enhancers, promoters …

Explain-seq: an end-to-end pipeline from training to interpretation of sequence-based deep learning models

N Zhao, S Wang, Q Huang, S Dong, AP Boyle - bioRxiv, 2023 - biorxiv.org
Interpreting predictive machine learning models to derive biological knowledge is the
ultimate goal of developing models in the era of genomic data exploding. Recently …