SraTailor

SraTailor converts Sequence Read Archive (SRA) ChIP-seq datasets into visualization- and analysis-ready formats, enabling read-coverage visualization and peak calling for studies of protein–DNA interactions and chromatin modifications.

Key Features:

• Conversion to BigWig: Converts SRA files into BigWig coverage tracks for genomic visualization.
• Locus-level read coverage: Generates read-coverage representations that show the extent of reads at specific genomic loci.
• Peak Calling: Performs peak calling to identify enriched regions in ChIP-seq data.
• Multi-format Output: Exports processed data into multiple file formats for downstream analysis.
• Processing of sequencing data: Processes user-supplied ChIP-seq sequencing data for conversion and analysis.

Scientific Applications:

• Protein–DNA interaction mapping: Identifies transcription factor binding sites and other protein–DNA interactions from ChIP-seq peak data.
• Histone modification profiling: Analyzes histone modification patterns using coverage tracks and peak detection from ChIP-seq datasets.
• Public SRA data reanalysis: Reprocesses and analyzes ChIP-seq datasets from the Sequence Read Archive for comparative and meta-analyses.

Methodology:

Converts Sequence Read Archive (SRA) files to BigWig format; performs peak calling on ChIP-seq data; exports processed data into multiple file formats.