Article

SEEK to Identify Super Enhancer-Expression Correlated Pairs using Single-cell Multi-omic Data

2022-11-08

Abstract excerpt

Super enhancers (SEs) drive cell identity and disease related genes. However, current methods for studying associations between SE and gene expression are time consuming, costly and with poor scalability. This study formulated a computational approach for screening genome-wide SE-expression associations by analyzing single-cell multi-omic data of transcriptome and H3K27ac histone modification. A pipeline was also...

Topics

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

Identifiers and source

Literature Corpus work: 03baad29-0018-5966-ad7f-65c43a955cf9
DOI: 10.1101/2022.11.07.515509

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

SEEK to Identify Super Enhancer-Expression Correlated Pairs using Single-cell Multi-omic DataDOI 10.1101/2022.11.07.515509Read

scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networksSemantic proximity Read

scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks.Semantic proximity Read

SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networksSemantic proximity Read

Summarizing internal dynamics boosts differential analysis and functional interpretation of super enhancersSemantic proximity Read

Identification of Cell States Using Super-Enhancer RNASemantic proximity Read

Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysisSemantic proximity Read

Specialised super-enhancer networks in stem cells and neuronsSemantic proximity Read

Comparative Analysis of Super-enhancers Across Mammals Reveals Their High Function ConservationSemantic proximity Read

A combination of RNA-Seq and CHIP-Seq analysis for determining super enhancer- associated genes to evaluate prognosis and immunity of gliomaSemantic proximity Read

Super-enhancers in the control of cell identity and disease.Semantic proximity Read

An attention-based deep neural network model to detect cis-regulatory elements at the single-cell level from multi-omics dataSemantic proximity Read

A cell type-aware framework for nominating non-coding variants in Mendelian regulatory disordersSemantic proximity Read