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.

Documentation

Links