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资源简介：
Cutandrun data
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创建时间：
2022-01-24
相关数据集
CUT&RUN studies comparing occupancy of MAX, MGA, MYC and L3MBTL2 occupancy in Empty vector and sgMGA transduced A549 lung adenocarcinoma cells. CUT&RUN studies comparing occupancy of MAX, MGA, MYC and L3MBTL2 occupancy in Empty vector and sgMGA transduced A549 lung adenocarcinoma cells
The goal of this study was to examine the genomic occupancy of MAX, MGA, MYC and L3MBTL2 in MGA depleted vs. control cells Overall design: Two independent sets of control Empty and one set of sgMGA A5
NIAID Data Ecosystem40
Hi-C dataset for testicular germ cell tumour GWAS risk loci, as described in the Oncoarray Litchfield et al. 2016 paper.
Genome-wide association studies (GWAS) have transformed our understanding of testicular germ cell tumour (TGCT) susceptibility but much of the heritability remains unexplained. Here we report a new GW
NIAID Data Ecosystem20
Regulation of human germline commitment by DMRT1 [CUT&RUN]
Nascent human primordial germ cell-like cells (PGCLCs) can be specified with BMP2 or BMP4 together with SCF and EGF from germline competent embryonic stem cells which are maintained in the presence of
NIAID Data Ecosystem20
Total number of peaks called for each histone mark by SEACR.
SEACR, sparse enrichment analysis for CUT&RUN. (XLSX)
NIAID Data Ecosystem30
Cut&RUN ACLY BA Primary mouse hepatocytes
Pre-processed CUT&RUN files for ACLY and GCN5 were normalized to effective genome size. For each file, background signal was calculated in heterochromatin regions using negative ATAC-seq signal mask,
Mendeley Data2024-05-17 更新20
