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 mm10
BigWig
Peak-call (q < 1E-05)
Peak-call (q < 1E-10)
Peak-call (q < 1E-20)
For mm9
BigWig
Peak-call (q < 1E-05)
Peak-call (q < 1E-10)
Peak-call (q < 1E-20)
Error connecting to IGV?
Analyze
For mm10
Colocalization
Target Genes (TSS ± 1kb)
Target Genes (TSS ± 5kb)
Target Genes (TSS ± 10kb)
For mm9
Colocalization
Target Genes (TSS ± 1kb)
Target Genes (TSS ± 5kb)
Target Genes (TSS ± 10kb)
Download
For mm10
BigWig
Peak-call (q < 1E-05)
Peak-call (q < 1E-10)
Peak-call (q < 1E-20)
For mm9
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: Epitope tags
wikigenes
PDBj
CellType: ES cells
ATCC
MeSH
RIKEN BRC
SRX5054317
GSM3486611: Mta1FLAG 2i 1 2; Mus musculus; ChIP-Seq
Sample information curated by ChIP-Atlas
Antigen
Antigen Class
TFs and others
Antigen
Epitope tags
Cell type
Cell type Class
Pluripotent stem cell
Cell type
ES cells
NA
NA
Attributes by original data submitter
Sample
source_name
embryonic stem cells
cell type
embryonic stem cells
culture conditions
2i+LIF
strain
129/Ola
chip antibody
anti-FLAG
genotype/variation
Mta1-FLAG knocked into endogenous Mta1 locus
Sequenced DNA Library
library_strategy
ChIP-Seq
library_source
GENOMIC
library_selection
ChIP
library_construction_protocol
Chromatin immunoprecipitations were carried out as previously outlined (Reynolds et al., 2012). ChIP-seq libraries were prepared using the NEXTflex Rapid DNA-seq kit (Illumina)
Sequencing Platform
instrument_model
Illumina HiSeq 2000
Where can I get the processing logs?
Read processing pipeline
log
mm10
Number of total reads
53310579
Reads aligned (%)
96.9
Duplicates removed (%)
23.0
Number of peaks
9151 (qval < 1E-05)
mm9
Number of total reads
53310579
Reads aligned (%)
96.6
Duplicates removed (%)
22.9
Number of peaks
8944 (qval < 1E-05)
Base call quality data from
DBCLS SRA