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资源简介：
LEM-2 ChIP-seq to study chromatin anchoring
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创建时间：
2015-12-11
相关数据集
Additional file 1 of Characterizing chromatin interactions of regulatory elements and nucleosome positions, using Hi-C, Micro-C, and promoter capture Micro-C
Additional file 1: Table S1. Datasets used in this study. (A) data availability (B) QC statistics of Micro-C, Hi-C, and promoter capture Micro-C data (C) Additional metrics of promoter capture Micro-C
DataCite Commons2023-04-13 更新100
Additional file 7 of Human transcriptional interactome of chromatin contribute to gene co-expression
Additional file 7:Co-expressed gene pairs have more Hi-C interactions than all pairs. T tests are used to test the difference between Hi-C interactions of co-expressed gene pairs and all pairs. In co-
DataCite Commons2024-02-16 更新70
The landscape of H3K9me2 and CTCF in mice GV oocytes. The landscape of H3K9me2 and CTCF in mice GV oocytes
During oocyte growth, various epigenetic modifications are gradually established, accompanied by accumulation of large amounts of mRNAs and proteins. However, little is known about the relationship be
NIAID Data Ecosystem50
Additional file 11 of Integrative analysis of 3604 GWAS reveals multiple novel cell type-specific regulatory associations
Additional file 11: Table S10. Consolidated Epigenomics Roadmap HMM Chromatin State (15-state model) FORGE2 GWAS catalogue analysis results (q-values).
DataCite Commons2022-01-25 更新100
In Situ Chromatin Interaction Analysis Using Paired‐End Tag Sequencing
In situ ChIA-PET, fastq files for testing bioinformatic pipeline. Library ID: LDK0004-L Sequencing platform: Miseq-2X150bp Cell line: KC167 IP-factor: RNAPII Reference genome, as a suggestio
NIAID Data Ecosystem60
