Analysis abstract
Nature Biotechnology 26, 1351 - 1359 (2008)
Published online: 16 November 2008 | doi:10.1038/nbt.1508
Design and analysis of ChIP-seq experiments for DNA-binding proteins
Peter V Kharchenko1,2,3, Michael Y Tolstorukov1,2 & Peter J Park1,2,3
Abstract
Recent progress in massively parallel sequencing platforms has enabled genome-wide characterization of DNA-associated proteins using the combination of chromatin immunoprecipitation and sequencing (ChIP-seq). Although a variety of methods exist for analysis of the established alternative ChIP microarray (ChIP-chip), few approaches have been described for processing ChIP-seq data. To fill this gap, we propose an analysis pipeline specifically designed to detect protein-binding positions with high accuracy. Using previously reported data sets for three transcription factors, we illustrate methods for improving tag alignment and correcting for background signals. We compare the sensitivity and spatial precision of three peak detection algorithms with published methods, demonstrating gains in spatial precision when an asymmetric distribution of tags on positive and negative strands is considered. We also analyze the relationship between the depth of sequencing and characteristics of the detected binding positions, and provide a method for estimating the sequencing depth necessary for a desired coverage of protein binding sites.
- Center for Biomedical Informatics, Harvard Medical School, 10 Shattuck St., Boston, Massachusetts 02115, USA.
- Harvard-Partners Center for Genetics and Genomics, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, USA.
- Harvard-MIT Health Sciences and Technology Informatics Program at Children's Hospital, 300 Longwood Ave., Boston, Massachusetts 02115, USA.
Correspondence to: Peter J Park1,2,3 e-mail: peter_park@harvard.edu
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