ChIP-seq tracks Track Settings
 
ChIP-seq tracks

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30%-epiboly
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ChIP-seq target
















ChIP-seq target
H3K4me3   H3K4me3
nanog-like   nanog-like
H2AFV   H2AFV
H3K36me3   H3K36me3
sox10   sox10
Pol II 4H8   Pol II 4H8
H3K27ac   H3K27ac
H3K4me1   H3K4me1
Cdx4   Cdx4
H3K27me3   H3K27me3
Sall4   Sall4
Pol II 8WG16   Pol II 8WG16
Mxtx2   Mxtx2
Pou5f3   Pou5f3
H3K14ac   H3K14ac
zgata1   zgata1
CTCF   CTCF
Zic3   Zic3
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 27 Prim-5  DCD001525SQ  signal  H3K4me3, Prim-5, Mueller_lab, nan   Data format 
    
Assembly: Zebrafish May 2017 (GRCz11/danRer11)

ChIP-seq tracks

The whole ChIP-seq dataset including raw data and metadata annotation can be found in the DANIO-CODE Data Coordination Center (https://danio-code.zfin.org/dataExport/?view=table&selected_facet=ChIP-seq-assay_type)

This is a ChIP-seq super track that groups together signal (bigWig format) and narrow peaks (bigNarrowPeak format) of ChIP-seq data. regions (bigBed format).

The ChIP-seq pipeline used to generate these tracks are described https://gitlab.com/danio-code/DANIO-CODE_ChIP-seq.

Briefly, the pipeline consists of:
  1. Aligning reads (bwa): Aligning raw reads to the reference genome.
  2. Filtering of aligned reads: Filtering the ba file for unaligned reads and and duplicates with samtools and sambamba.
  3. Optical duplicates detection: Detect optical duplicates with Picard tools.
  4. Duplicates removal: Second round of filtering with samtools and sambamba.
  5. Cross-correlation analysis.

Track definition: ChIP-seq tracks consist of 2 different types: #. ChIP-seq signals. #. ChIP-seq narrow peaks.

For more information on how the data were processed, please refer https://gitlab.com/danio-code/ADANIO-CODE_RNA-seq.