Pique

Pique identifies peaks in high-coverage ChIP-seq data from bacterial and archaeal genomes to detect protein–DNA interactions and map regulatory elements.


Key Features:

  • High-efficiency peak finding: Identifies peaks in high-coverage ChIP-seq experiments with emphasis on datasets from bacteria and archaea.
  • Targeted for bacterial and archaeal data: Addresses challenges specific to prokaryotic ChIP-seq that can limit conventional eukaryote-focused peak callers.
  • Implementation: Implemented as an open-source application written in Python.
  • Standardized output formats: Produces outputs in standardized file formats for downstream analysis and tool interoperability.
  • Integration with Gaggle Genome Browser: Outputs can be imported into the Gaggle Genome Browser for genome visualization and curation.
  • Compatibility with R and graphics/statistics software: Output is compatible with R and other statistical/graphics software for downstream analysis and visualization.
  • Open-source licensing: Distributed under the BSD-3 license with only freely licensed dependencies.
  • Cross-platform compatibility: Runs across multiple operating systems.

Scientific Applications:

  • Peak detection in prokaryotic ChIP-seq: Accurate identification of enrichment peaks in high-coverage ChIP-seq datasets from bacterial and archaeal samples.
  • Protein–DNA interaction mapping: Detection of binding sites for DNA-associated proteins in prokaryotic genomes.
  • Regulatory element discovery and gene regulation analysis: Support for locating regulatory elements and informing studies of gene expression mechanisms, with downstream analysis using R and genome browsers.

Methodology:

Implemented in Python and employs a tailored algorithmic approach to overcome limitations of existing peak finders on high-coverage bacterial and archaeal ChIP-seq data, minimizing errors and enhancing detection accuracy.

Topics

Details

License:
BSD-3-Clause
Tool Type:
command-line tool
Programming Languages:
Python
Added:
1/9/2020
Last Updated:
12/28/2020

Operations

Publications

Neches RY, Seitzer PM, Wilbanks EG, Facciotti MT. In a fit of pique: Analyzing microbial ChIP-Seq data with Pique. Unknown Journal. 2014. doi:10.7287/peerj.preprints.290v2.

Links