Training Material for ChIP-Seq Analysis: Mouse Hematopoietic Transcription Factor Data

Mallory Freeberg from Johns Hopkins University provides data from a Galaxy tutorial analyzing ChIP-seq data from a 2014 study by Wu et al. The dataset contains downsampled biological replicate Tal1 ChIP-seq and input control experiments from mouse G1E cells and megakaryocytes, focusing on chromosome 19 and selected genomic loci. Included files are *.fastqsanger raw data, a BED file of regions of interest, and a RefSeq gene annotation file for the mm10 genome.

Use Cases

• Learning ChIP-seq data processing and quality control based on provided biological replicate and control files.
• Practicing transcription factor binding site analysis based on Tal1 ChIP-seq data from mouse hematopoietic cell types.
• Training on genomic data visualization using the included BED files for regions of interest and gene annotations.
• Benchmarking alignment and peak-calling tools on a known, downsampled dataset focused on chromosome 19.

Strengths

• Data is derived from a published study (Wu et al., 2014) investigating a critical regulator of hematopoiesis.
• Includes both ChIP-seq and matched input control experiments for two distinct mouse cell types.
• Provides curated genomic regions of interest and gene annotation files to support analysis and visualization.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The raw data files have been downsampled to only chromosome 19 and selected loci, reducing genomic coverage.

Provenance

Source

Johns Hopkins University

Collection Method

Data downsampled from original ChIP-seq experiments published by Wu et al., 2014.