Toggle navigation
Peak Browser
Enrichment Analysis
Diff Analysis
Target Genes
Colocalization
Publications
Docs
Search
Go
Find By ID
Visualize
Install and launch IGV before selecting data to visualize
For hg38
BigWig
Peak-call (q < 1E-05)
Peak-call (q < 1E-10)
Peak-call (q < 1E-20)
For hg19
BigWig
Peak-call (q < 1E-05)
Peak-call (q < 1E-10)
Peak-call (q < 1E-20)
Error connecting to IGV?
Analyze
For hg38
Colocalization
Target Genes (TSS ± 1kb)
Target Genes (TSS ± 5kb)
Target Genes (TSS ± 10kb)
For hg19
Colocalization
Target Genes (TSS ± 1kb)
Target Genes (TSS ± 5kb)
Target Genes (TSS ± 10kb)
Download
For hg38
BigWig
Peak-call (q < 1E-05)
Peak-call (q < 1E-10)
Peak-call (q < 1E-20)
For hg19
BigWig
Peak-call (q < 1E-05)
Peak-call (q < 1E-10)
Peak-call (q < 1E-20)
Link Out
Sequence Read Archive
DBCLS SRA
NCBI SRA
ENA
Antigen: MLLT3
wikigenes
PDBj
CellType: hESC derived neural cells
ATCC
MeSH
RIKEN BRC
Variation
TogoVar
SRX1012221
GSM1668530: AF9 ChIP; Homo sapiens; ChIP-Seq
Sample information curated by ChIP-Atlas
Antigen
Antigen Class
TFs and others
Antigen
MLLT3
Cell type
Cell type Class
Pluripotent stem cell
Cell type
hESC derived neural cells
NA
NA
Attributes by original data submitter
Sample
source_name
Day 12 differentiated cells
cell type
Day 12 differentiated cells (NPCs)
chip antibody
anti-AF9 (NOVUS, NB100-1566)
Sequenced DNA Library
library_strategy
ChIP-Seq
library_source
GENOMIC
library_selection
ChIP
library_construction_protocol
Lysates were clarified from sonicated nuclei and protein-DNA complexes were isolated with AF9 or TET2 antibodies. Libraries were prepared according to Illumina's instructions accompanying the DNA Sample Kit.
Sequencing Platform
instrument_model
Illumina HiSeq 2000
Where can I get the processing logs?
Read processing pipeline
log
hg38
Number of total reads
28440787
Reads aligned (%)
96.4
Duplicates removed (%)
43.8
Number of peaks
797 (qval < 1E-05)
hg19
Number of total reads
28440787
Reads aligned (%)
95.5
Duplicates removed (%)
45.4
Number of peaks
897 (qval < 1E-05)
Base call quality data from
DBCLS SRA