Chromosome-scale scaffolding of de novo genome assemblies based on chromatin interactions
Open accessAbstract
Genomes assembled de novo from short reads are highly fragmented relative to the finished chromosomes of Homo sapiens and key model organisms generated by the Human Genome Project. To address this problem, we need scalable, cost-effective methods to obtain assemblies with chromosome-scale contiguity. Here we show that genome-wide chromatin interaction data sets, such as those generated by Hi-C, are a rich source of long-range information for assigning, ordering and orienting genomic sequences to chromosomes, including across centromeres. To exploit this finding, we developed an algorithm that uses Hi-C data for ultra-long-range scaffolding of de novo genome assemblies. We demonstrate the approach by combining shotgun fragment and short jump mate-pair sequences with Hi-C data to generate chromosome-scale de novo assemblies of the human, mouse and Drosophila genomes, achieving--for the human genome--98% accuracy in assigning scaffolds to chromosome groups and 99% accuracy in ordering and orienting scaffolds within chromosome groups. Hi-C data can also be used to validate chromosomal translocations in cancer genomes.
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High-throughput, inexpensive proximity sequencing methods emerged as powerful tools to scaffold subchromosomal genomic contigs into chromosome-scale sequences.
“High-throughput, inexpensive proximity sequencing methods (reviewed in 83) emerged as powerful tools to scaffold subchromosomal genomic contigs into sequences reconstructing whole chromosomes (i.e., chromosome-scale) (54, 55)”
From Topological Approaches in Animal Comparative Genomics (2026) · cites this paper as [54]
Genome sequencing and assembly have become increasingly affordable and computationally tractable thanks to long-read sequencing technologies, DNA proximity ligation sequencing techniques, and genome sequencing consortia.
“Genome sequencing and assembly have become increasingly affordable and computationally tractable thanks to the development of long-read sequencing technologies like the Pacific Biosciences and Oxford Nanopore platforms (52); the development of DNA proximity ligation sequencing techniques, like Hi-C, for genome scaffolding (53–55); and the efforts of genome sequencing consortia (1, 2, 4, 56)”
From Topological Approaches in Animal Comparative Genomics (2026) · cites this paper as [54]
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- Authors
- Burton, J. N., Adey, A., Patwardhan, R. P., Qiu, R., Kitzman, J. O., & Shendure, J.
- Affiliations
- University of Washington (US)
- Corresponding author
- Burton, Joshua N
- Shendure, Jay
- Venue
- Nature Biotechnology
- Published
- 2013-12
- Volume
- 31
- Issue
- 12
- Pages
- 1119-1125
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC4117202
- OpenAlex
- W2118970626
- Cited by
- 1,470
- References
- 6
- Citations by year
- 2026: 102 · 2025: 132 · 2024: 197 · 2023: 162 · 2022: 207 · 2021: 208 · 2020: 146 · 2019: 104 · 2018: 81 · 2017: 52 · 2016: 24 · 2015: 23 · 2014: 24 · 2013: 2
- FWCI
- 9.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation
- National Human Genome Research Institute (HG006283, R01HG006283, T32HG000035)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Keywords
- de novo genome assembly, Hi-C, chromatin interactions, centromere, human genome, mouse genome, Drosophila genome, chromosomal translocation, cancer genome, mate-pair sequencing
- MeSH terms
- Algorithms, Animals, Base Sequence, Chromatin, Chromosome Mapping, Drosophila, Humans, Molecular Sequence Data, Sequence Analysis, DNA, Contig Mapping, Mice
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