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annoPeak: a web application to annotate and visualize peaks from ChIP-seq/ChIP-exo-seq.

Xing Tang1,2,3, Arunima Srivastava1,2,3, Huayang Liu1,2,3

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Summary

We created annoPeak, a web app for analyzing ChIP-seq data. It helps researchers visualize and understand protein-binding regions in human and mouse cells to generate new hypotheses.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Chromatin immunoprecipitation sequencing (ChIP-seq) and ChIP-exo-sequencing are crucial techniques for mapping protein-DNA interactions genome-wide.
  • Analyzing the vast datasets generated by these experiments requires sophisticated tools for annotation and visualization.

Purpose of the Study:

  • To develop annoPeak, a user-friendly web application for annotating, visualizing, and comparing predicted protein-binding regions from ChIP-seq/ChIP-exo-seq experiments.
  • To facilitate the identification of target genes and the categorization of binding sites within gene structures.

Main Methods:

  • Development of a web application accessible via http://ccc-annopeak.osumc.edu/annoPeak.
  • Implementation of tools for uploading multiple peak regions, annotating them with biological context, and comparing binding profiles.
  • Source code is available at https://github.com/XingTang2014/annoPeak.

Main Results:

  • annoPeak enables intuitive comparison of multiple binding profiles through integrated visualization tools and tables.
  • Users can annotate peak regions with biological context and identify associated target genes.
  • The application categorizes binding sites relative to gene structure.

Conclusions:

  • annoPeak aids researchers in identifying genome-wide transcription factor binding patterns.
  • It facilitates the assessment of binding profiles across different biological contexts.
  • The tool supports hypothesis generation by providing comprehensive analysis of ChIP-seq/ChIP-exo-seq data.