CARPET: a web-based package for the analysis of ChIP-chip and expression tiling data.

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• Tiling array technology and Chromatin immunoprecipitation (ChIP) followed by array hybridization (ChIP-chip) are powerful methods for genome-wide analyses.
• Analyzing large-scale ChIP-chip and expression tiling data requires robust and user-friendly computational tools.

Purpose of the Study:

• To develop and present CARPET, a comprehensive and integrated platform for the analysis of ChIP-chip and expression tiling data.
• To facilitate the integration of ChIP-chip and expression data for a more holistic understanding of genomic regulation.

Main Methods:

• CARPET is a collection of Perl, Python, and R scripts.
• The scripts are integrated into the Galaxy2 web-based platform, providing a user-friendly interface.
• The platform supports standard and custom chip designs.

Main Results:

• CARPET enables rapid data entry, quality control, and normalization.
• It allows for easy identification and annotation of enriched ChIP-chip regions.
• The tool detects the transcriptional status of genes from expression tiling data and integrates it with ChIP-chip results.
• Results are visualized as custom tracks in the UCSC Genome Browser.

Conclusions:

• CARPET provides a unified and accessible solution for analyzing complex genomic datasets.
• The platform enhances data sharing and reproducibility through session management.
• CARPET simplifies the interpretation of ChIP-chip and expression tiling experiments, aiding in the study of gene regulation.