Discussion on various available methods for analyzing ChIP-seq data


Quincy Mo will talk to us about various available methods for analyzing ChIP-seq data, and compare them to his own method, iSeq.


Chromatin immunoprecipitation followed by next generation sequencing (ChIP-seq) is a powerful technique that is being used in a wide range of biological studies including genome-wide measurements of protein-DNA interactions, DNA methylation, histone modification and other epigenetic markers. In this talk, I will comprehensively compare the following five methods/software using three transcription factor ChIP-seq data sets and four mixed ChIP-seq data sets. The results indicate that iSeq, an algorithm that models a dynamic signal profile of ChIP-seq data using a fully Bayesian hidden Ising model achieves equivalent or higher sensitivity and spatial resolution in detecting transcription factor binding sites with false discovery rate at a much lower level.

Date & Time(s)


307 E 63rd Street, 3rd Floor Conference Room
New York, NY 10065


Quincy Mo
Assistant Research Biostatistician
Epidemiology and Biostatistics
Memorial Sloan Kettering Cancer Center