数据链接：
官方服务：
资源简介：
Variants predicted to be regulatory by RegulomeDB.
应用场景：
创建时间：
2024-11-25
相关数据集
Transcriptome-Wide Analysis of UTRs in Non-Small Cell Lung Cancer Reveals Cancer-Related Genes with SNV-Induced Changes on RNA Secondary Structure and miRNA Target Sites
Traditional mutation assessment methods generally focus on predicting disruptive changes in protein-coding regions rather than non-coding regulatory regions like untranslated regions (UTRs) of mRNAs.
NIAID Data Ecosystem60
Comparative Analysis of Regulatory Elements between Escherichia coli and Klebsiella pneumoniae by Genome-Wide Transcription Start Site Profiling
Genome-wide transcription start site (TSS) profiles of the enterobacteria Escherichia coli and Klebsiella pneumoniae were experimentally determined through modified 5′ RACE followed by deep sequencing
Figshare2016-01-19 更新50
Chromatin accessibility dynamics across C. elegans development and ageing [scap]
An essential step for understanding the transcriptional circuits that control development and physiology is the global identification and characterization of regulatory elements. Here we present the f
NIAID Data Ecosystem40
FAIRsharing record for: MAPPER-2
This FAIRsharing record describes: This resource provides information primarily on the upstream non-coding sequence data of genes in 3 genomes which gives insight into the transcription factors bindi
DataCite Commons2024-12-05 更新60
Identification of putative ROREs in the genes displayed by the micro-array analysis.
Regulatory regions (600–1100 bp promoters or intragenic regions) of ten human genes displayed by our over-expression experiments were extracted from sequence databases (Genomatix, UCSC, Genbank) and a
Figshare2015-12-02 更新40
