GiniQC: a measure for quantifying noise in single-cell Hi-C data
Connor A. Horton, B. Alver, Peter J. Park
Abstract
SUMMARY: Single-cell Hi-C (scHi-C) allows the study of cell-to-cell variability in chromatin structure and dynamics. However, the high level of noise inherent in current scHi-C protocols necessitates careful assessment of data quality before biological conclusions can be drawn. Here, we present GiniQC, which quantifies unevenness in the distribution of inter-chromosomal reads in the scHi-C contact matrix to measure the level of noise. Our examples show the utility of GiniQC in assessing the quality of scHi-C data as a complement to existing quality control measures. We also demonstrate how GiniQC can help inform the impact of various data processing steps on data quality. AVAILABILITY AND IMPLEMENTATION: Source code and documentation are freely available at https://github.com/4dn-dcic/GiniQC. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.