W-ChIPeaks
W-ChIPeaks identifies peaks in ChIP-chip and ChIP-seq data and annotates transcription factor binding sites to support studies of transcriptional regulation.
Key Features:
- Support for ChIP-chip and ChIP-seq: Processes data from ChIP-chip (hybridization with spotted or tiling microarrays) and ChIP-seq (paired-end tag sequencing and massively parallel sequencing).
- Probe-based/Bin-based enrichment threshold: Uses probe-based or bin-based enrichment thresholds to define peaks in ChIP data.
- PELT module for ChIP-chip: Applies PELT optimized for array hybridization data from spotted or tiling microarrays.
- BELT module for ChIP-seq: Applies BELT for paired-end tag sequencing and massively parallel sequencing data.
- Statistical FDR control: Implements statistical methods to control the false discovery rate of identified peaks.
- Output formats: Exports peak and signal data in GFF, BED, bedGraph, and .wig formats.
- Gene annotation: Associates identified peaks with related genes for downstream interpretation.
- Validation on published datasets: Methods have been tested using previously published experimental datasets.
Scientific Applications:
- Transcription factor profiling: Identification and annotation of transcription factor binding sites from ChIP-chip and ChIP-seq experiments.
- Transcriptional regulation studies: Support for analyses aimed at elucidating transcriptional regulation mechanisms in living cells.
- Gene regulatory network analysis: Enabling inference of regulatory interactions by linking peaks to genes.
- Downstream integrative analyses: Generation of GFF, BED, bedGraph, and .wig outputs for integration with genome browsers and other computational workflows.
Methodology:
Peak calling using probe-based or bin-based enrichment thresholds; PELT for ChIP-chip (spotted/tiling microarrays) and BELT for ChIP-seq (paired-end tag and massively parallel sequencing); statistical methods to control FDR; export to GFF, BED, bedGraph, and .wig; peak-to-gene annotation; validation on published datasets.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- PHP, Java, C++, Perl
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Lan X, Bonneville R, Apostolos J, Wu W, Jin VX. W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data. Bioinformatics. 2010;27(3):428-430. doi:10.1093/bioinformatics/btq669. PMID:21138948. PMCID:PMC3031039.