Biomedical Engineering and Bioengineering Commons^™

Comparison Of Four Chip-Seq Analytical Algorithms Using Rice Endosperm H3k27 Trimethylation Profiling Data., Brandon M. Malone, Feng Tan, Susan M. Bridges, Zhaohua Peng

Bagley College of Engineering Publications and Scholarship

Chromatin immunoprecipitation coupled with high throughput DNA Sequencing (ChIP-Seq) has emerged as a powerful tool for genome wide profiling of the binding sites of proteins associated with DNA such as histones and transcription factors. However, no peak calling program has gained consensus acceptance by the scientific community as the preferred tool for ChIP-Seq data analysis. Analyzing the large data sets generated by ChIP-Seq studies remains highly challenging for most molecular biology laboratories.Here we profile H3K27me3 enrichment sites in rice young endosperm using the ChIP-Seq approach and analyze the data using four peak calling algorithms (FindPeaks, PeakSeq, USeq, and MACS). Comparison …