Related Experiment Video
Updated: May 31, 2026

Detection of Copy Number Alterations Using Single Cell Sequencing
Published on: February 17, 2017
False positive peaks in ChIP-seq and other sequencing-based functional assays caused by unannotated high copy number
Joseph K Pickrell1, Daniel J Gaffney, Yoav Gilad
1Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. pickrell@uchicago.edu
Motivation:
Sequencing-based assays such as ChIP-seq, DNase-seq and MNase-seq have become important tools for genome annotation. In these assays, short sequence reads enriched for loci of interest are mapped to a reference genome to determine their origin. Here, we consider whether false positive peak calls can be caused by particular type of error in the reference genome: multicopy sequences which have been incorrectly assembled and collapsed into a single copy.
Results:
Using sequencing data from the 1000 Genomes Project, we systematically scanned the human genome for regions of high sequencing depth. These regions are highly enriched for erroneously inferred transcription factor binding sites, positions of nucleosomes and regions of open chromatin. We suggest a simple masking procedure to remove these regions and reduce false positive calls.
Availability:
Files for masking out these regions are available at eqtl.uchicago.edu
Related Concept Videos
RNA-seq
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Comparing Copy Number Variations and SNPs
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Genome Copying Errors
DNA Microarrays
