The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
HaploMerger2: rebuilding both haploid sub-assemblies from high-heterozygosity diploid genome assembly
Open accessAbstract
Summary: De novo assembly is a difficult issue for heterozygous diploid genomes. The advent of high-throughput short-read and long-read sequencing technologies provides both new challenges and potential solutions to the issue. Here, we present HaploMerger2 (HM2), an automated pipeline for rebuilding both haploid sub-assemblies from the polymorphic diploid genome assembly. It is designed to work on pre-existing diploid assemblies, which are typically created by using de novo assemblers. HM2 can process any diploid assemblies, but it is especially suitable for diploid assemblies with high heterozygosity (≥3%), which can be difficult for other tools. This pipeline also implements flexible and sensitive assembly error detection, a hierarchical scaffolding procedure and a reliable gap-closing method for haploid sub-assemblies. Using HM2, we demonstrate that two haploid sub-assemblies reconstructed from a real, highly-polymorphic diploid assembly show greatly improved continuity. Availability and Implementation: Source code, executables and the testing dataset are freely available at https://github.com/mapleforest/HaploMerger2/releases/. Supplementary information: Supplementary data are available at Bioinformatics online.
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Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short reads
Kajitani, R., Toshimoto, K., Noguchi, H., Toyoda, A., Ogura, Y., Okuno, M., Yabana, M., Harada, M., Nagayasu, E., Maruyama, H., et al. (2014) · Genome Research · doi:10.1101/gr.170720.113 · Cited by 1,017
Cited by
Identifying and removing haplotypic duplication in primary genome assemblies
Guan, D., McCarthy, S. A., Wood, J., Howe, K., Wang, Y., & Durbin, R. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa025 · Cited by 2,706
Genomic factors shape carbon and nitrogen metabolic niche breadth across Saccharomycotina yeasts
Opulente, D. A., LaBella, A. L., Harrison, M.-C., Wolters, J. F., Liu, C., Li, Y., Kominek, J., Steenwyk, J. L., Stoneman, H. R., VanDenAvond, J., et al. (2024) · Science · doi:10.1126/science.adj4503 · Cited by 121
Rossier, V., Warwick Vesztrocy, A., Robinson-Rechavi, M., & Dessimoz, C. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab219 · Cited by 25
Metadata
- Authors
- Huang, S., Kang, M., & Xu, A.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-04-12
- Volume
- 33
- Issue
- 16
- Pages
- 2577-2579
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2606839082
- Cited by
- 191
- References
- 1
- FWCI
- 5.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
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