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SCENIC+: identification of enhancers and gene regulatory networks using single-cell multiomics

NIAID Data Ecosystem2026-05-01 收录

单细胞多组学

调控网络分析

数据链接：

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE210749 数据链接链接失效反馈

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资源简介：

This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

应用场景：

创建时间：

2023-07-17

单细胞多组学

基因调控动态推断

Single-cell multi-omic datasets, in which multiple molecular modalities are profiled within the same cell, provide a unique opportunity to discover the interplay between cellular epigenomic and transc

NIAID Data Ecosystem60

MultiVI - Intermediate datasets, notebooks, and scripts

单细胞多组学

生物信息学方法复现

All intermediate analyses, datasets, scripts, and notebooks to reproduce all results in the MultiVI manuscript.

NIAID Data Ecosystem10

Data Sheet 1_Single-cell multi-omics reveals the TNF-α activation threshold for Classical Monocytes by studying healthy donors and rheumatoid arthritis patients.docx

单细胞多组学

TNF-α激活阈值

IntroductionTumor Necrosis Factor Alpha is a known pro-inflammatory cytokine that plays a key role in the pathogenesis of rheumatoid arthritis. Anti-cytokine therapies targeting Tumor Necrosis Factor

NIAID Data Ecosystem00

HBM675.WBSB.426

单细胞多组学

肺部组织

SNARE-seq2 data from the lung (left) of a 23.8-year-old white male

NIAID Data Ecosystem40

Single-cell transcriptomic, epigenomic and spatial metabolomic profiling redefines the human kidney anatomy

单细胞多组学

肾脏解剖学

This repository contains supporting data for our manuscript (Li et al. Humphreys) studying human kidney anatomy with SHARE-seq and imaging mass spectrometry. The deposited zip file should be unzipped

NIAID Data Ecosystem10

SCENIC+: identification of enhancers and gene regulatory networks using single-cell multiomics

资源简介：

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