DROMPA: easy-to-handle peak calling and visualization software for the computational analysis and validation of ChIP-seq data

Genes Cells. 2013 Jul;18(7):589-601. doi: 10.1111/gtc.12058. Epub 2013 May 15.


Chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) can identify genomic regions that bind proteins involved in various chromosomal functions. Although the development of next-generation sequencers offers the technology needed to identify these protein-binding sites, the analysis can be computationally challenging because sequencing data sometimes consist of >100 million reads/sample. Herein, we describe a cost-effective and time-efficient protocol that is generally applicable to ChIP-seq analysis; this protocol uses a novel peak-calling program termed DROMPA to identify peaks and an additional program, parse2wig, to preprocess read-map files. This two-step procedure drastically reduces computational time and memory requirements compared with other programs. DROMPA enables the identification of protein localization sites in repetitive sequences and efficiently identifies both broad and sharp protein localization peaks. Specifically, DROMPA outputs a protein-binding profile map in pdf or png format, which can be easily manipulated by users who have a limited background in bioinformatics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Binding Sites
  • Chromatin Immunoprecipitation / methods*
  • Chromatin Immunoprecipitation / standards*
  • Computer Simulation*
  • High-Throughput Nucleotide Sequencing / methods*
  • High-Throughput Nucleotide Sequencing / standards*
  • Reproducibility of Results
  • Software*