Boost-HiC: computational enhancement of long-range contacts in chromosomal contact maps
- PMID: 30615061
- DOI: 10.1093/bioinformatics/bty1059
Boost-HiC: computational enhancement of long-range contacts in chromosomal contact maps
Abstract
Motivation: Genome-wide chromosomal contact maps are widely used to uncover the 3D organization of genomes. They rely on collecting millions of contacting pairs of genomic loci. Contacts at short range are usually well measured in experiments, while there is a lot of missing information about long-range contacts.
Results: We propose to use the sparse information contained in raw contact maps to infer high-confidence contact counts between all pairs of loci. Our algorithmic procedure, Boost-HiC, enables the detection of Hi-C patterns such as chromosomal compartments at a resolution that would be otherwise only attainable by sequencing a hundred times deeper the experimental Hi-C library. Boost-HiC can also be used to compare contact maps at an improved resolution.
Availability and implementation: Boost-HiC is available at https://github.com/LeopoldC/Boost-HiC.
Supplementary information: Supplementary data are available at Bioinformatics online.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Similar articles
-
C-InterSecture-a computational tool for interspecies comparison of genome architecture.Bioinformatics. 2019 Dec 1;35(23):4912-4921. doi: 10.1093/bioinformatics/btz415. Bioinformatics. 2019. PMID: 31116383
-
HiC-spector: a matrix library for spectral and reproducibility analysis of Hi-C contact maps.Bioinformatics. 2017 Jul 15;33(14):2199-2201. doi: 10.1093/bioinformatics/btx152. Bioinformatics. 2017. PMID: 28369339 Free PMC article.
-
HiC-Hiker: a probabilistic model to determine contig orientation in chromosome-length scaffolds with Hi-C.Bioinformatics. 2020 Jul 1;36(13):3966-3974. doi: 10.1093/bioinformatics/btaa288. Bioinformatics. 2020. PMID: 32369554 Free PMC article.
-
HiC-Pro: an optimized and flexible pipeline for Hi-C data processing.Genome Biol. 2015 Dec 1;16:259. doi: 10.1186/s13059-015-0831-x. Genome Biol. 2015. PMID: 26619908 Free PMC article.
-
Serpentine: a flexible 2D binning method for differential Hi-C analysis.Bioinformatics. 2020 Jun 1;36(12):3645-3651. doi: 10.1093/bioinformatics/btaa249. Bioinformatics. 2020. PMID: 32311033 Free PMC article.
Cited by
-
Considerations and caveats for analyzing chromatin compartments.Front Mol Biosci. 2023 Apr 5;10:1168562. doi: 10.3389/fmolb.2023.1168562. eCollection 2023. Front Mol Biosci. 2023. PMID: 37091873 Free PMC article. Review.
-
An integrative approach for fine-mapping chromatin interactions.Bioinformatics. 2020 Mar 1;36(6):1704-1711. doi: 10.1093/bioinformatics/btz843. Bioinformatics. 2020. PMID: 31742318 Free PMC article.
-
Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model.Bioinformatics. 2024 Jun 28;40(Suppl 1):i471-i480. doi: 10.1093/bioinformatics/btae211. Bioinformatics. 2024. PMID: 38940142 Free PMC article.
-
A supervised learning framework for chromatin loop detection in genome-wide contact maps.Nat Commun. 2020 Jul 9;11(1):3428. doi: 10.1038/s41467-020-17239-9. Nat Commun. 2020. PMID: 32647330 Free PMC article.
-
DeepHiC: A generative adversarial network for enhancing Hi-C data resolution.PLoS Comput Biol. 2020 Feb 21;16(2):e1007287. doi: 10.1371/journal.pcbi.1007287. eCollection 2020 Feb. PLoS Comput Biol. 2020. PMID: 32084131 Free PMC article.