Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data
- PMID: 31323892
- PMCID: PMC6678864
- DOI: 10.3390/genes10070548
Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data
Abstract
Hi-C, capture Hi-C (CHC) and Capture-C have contributed greatly to our present understanding of the three-dimensional organization of genomes in the context of transcriptional regulation by characterizing the roles of topological associated domains, enhancer promoter loops and other three-dimensional genomic interactions. The analysis is based on counts of chimeric read pairs that map to interacting regions of the genome. However, the processing and quality control presents a number of unique challenges. We review here the experimental and computational foundations and explain how the characteristics of restriction digests, sonication fragments and read pairs can be exploited to distinguish technical artefacts from valid read pairs originating from true chromatin interactions.
Keywords: Hi-C; capture Hi-C; processing; quality control.
Conflict of interest statement
The authors declare no conflict of interest.
Figures







Similar articles
-
Processing and Analysis of Hi-C Data on Bacteria.Methods Mol Biol. 2018;1837:19-31. doi: 10.1007/978-1-4939-8675-0_2. Methods Mol Biol. 2018. PMID: 30109603 Review.
-
Read Mapping for Hi-C Analysis.Methods Mol Biol. 2025;2856:25-62. doi: 10.1007/978-1-0716-4136-1_3. Methods Mol Biol. 2025. PMID: 39283445
-
Detecting Spatial Chromatin Organization by Chromosome Conformation Capture II: Genome-Wide Profiling by Hi-C.Methods Mol Biol. 2017;1589:47-74. doi: 10.1007/7651_2015_261. Methods Mol Biol. 2017. PMID: 26900130
-
HiC-bench: comprehensive and reproducible Hi-C data analysis designed for parameter exploration and benchmarking.BMC Genomics. 2017 Jan 5;18(1):22. doi: 10.1186/s12864-016-3387-6. BMC Genomics. 2017. PMID: 28056762 Free PMC article.
-
Hi-C techniques: from genome assemblies to transcription regulation.J Exp Bot. 2024 Sep 11;75(17):5357-5365. doi: 10.1093/jxb/erae085. J Exp Bot. 2024. PMID: 38430521 Review.
Cited by
-
Using paired-end read orientations to assess technical biases in capture Hi-C.NAR Genom Bioinform. 2024 Dec 4;6(4):lqae156. doi: 10.1093/nargab/lqae156. eCollection 2024 Dec. NAR Genom Bioinform. 2024. PMID: 39660253 Free PMC article.
-
snHiC: a complete and simplified snakemake pipeline for grouped Hi-C data analysis.Bioinform Adv. 2023 Jun 21;3(1):vbad080. doi: 10.1093/bioadv/vbad080. eCollection 2023. Bioinform Adv. 2023. PMID: 37397353 Free PMC article.
-
HCMB: A stable and efficient algorithm for processing the normalization of highly sparse Hi-C contact data.Comput Struct Biotechnol J. 2021 Apr 27;19:2637-2645. doi: 10.1016/j.csbj.2021.04.064. eCollection 2021. Comput Struct Biotechnol J. 2021. PMID: 34025950 Free PMC article.
-
From FISH to Hi-C: The Chromatin Architecture of the Chromosomal Region 7q36.3, Frequently Rearranged in Leukemic Cells, Is Evolutionary Conserved.Int J Mol Sci. 2021 Feb 26;22(5):2338. doi: 10.3390/ijms22052338. Int J Mol Sci. 2021. PMID: 33652823 Free PMC article.
References
-
- Lieberman-Aiden E., Van Berkum N.L., Williams L., Imakaev M., Ragoczy T., Telling A., Amit I., Lajoie B.R., Sabo P.J., Dorschner M.O., et al. Comprehensive mapping of long-range interactions reveals folding principles of the human genome. Science. 2009;326:289–293. doi: 10.1126/science.1181369. - DOI - PMC - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources