title: DROMPA: easy-to-handle peak calling and visualization software for the computational analysis and validation of ChIP-seq data.
abstract: 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.
authors.affiliation: Research Center for Epigenetic Disease, Institute of Molecular and Cellular Biosciences, The University of Tokyo, Tokyo, 113-0032, Japan.
authors.forename: Ryuichiro
authors.initials: R
authors.lastname: Nakato
authors.forename: Tahehiko
authors.initials: T
authors.lastname: Itoh
authors.forename: Katsuhiko
authors.initials: K
authors.lastname: Shirahige
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D047369:Chromatin Immunoprecipitation / Q000379:methods* / Q000592:standards*; D003198:Computer Simulation; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods* / Q000592:standards*; D015203:Reproducibility of Results; D012984:Software