ArticleScientific reports2016
DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.
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172 citing papers in PubMed.
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- Whole genome sequencing, assembly and annotation of the Southern Ground Hornbill - Bucorvus leadbeateri.Scientific data · 2025Article
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- Chromosome-level genome assemblies and genetic maps reveal heterochiasmy and macrosynteny in endangered Atlantic Acropora.BMC genomics · 2024Article
- Chromosome level assemblies of Nakaseomyces (Candida) bracarensis uncover two distinct clades and define its adhesin repertoire.BMC genomics · 2024Article
- Chromosome-level genome assembly of the glass catfish (Zoological research · 2024Article
- Fundamental Patterns of Structural Evolution Revealed by Chromosome-Length Genomes of Cactophilic Drosophila.Genome biology and evolution · 2024Article
- Genomics of ecological adaptation in Canary IslandEcology and evolution · 2024Article
- Unveiling microbial diversity: harnessing long-read sequencing technology.Nature methods · 2024Review
- Genomics comparisons of three chromosome-level mudskipper genome assemblies reveal molecular clues for water-to-land evolution and adaptation.Journal of advanced research · 2024Article
- The Complex Landscape of Structural Divergence Between the Drosophila pseudoobscura and D. persimilis Genomes.Genome biology and evolution · 2024Article
- Genomic resources for the Yellowfin tuna Thunnus albacares.Molecular biology reports · 2024Article
- Whole genome sequencing of a novel sea anemone (Actinostola sp.) from a deep-sea hydrothermal vent.Scientific data · 2024Article
- Conserved chromatin and repetitive patterns reveal slow genome evolution in frogs.Nature communications · 2024Article
- The draft genome of the Temminck's tragopan (Tragopan temminckii) with evolutionary implications.BMC genomics · 2023Article
- Population Genomics of DomesticatedPlants (Basel, Switzerland) · 2023Article
- Chromosome-level genome assembly of the deep-sea snail Phymorhynchus buccinoides provides insights into the adaptation to the cold seep habitat.BMC genomics · 2023Article
- The genome of Anoplarchus purpurescens (Stichaeidae) reflects its carnivorous diet.Molecular genetics and genomics : MGG · 2023Article
112 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The highly anticipated transition from next generation sequencing (NGS) to third generation sequencing (3GS) has been difficult primarily due to high error rates and excessive sequencing cost. The high error rates make the assembly of long erroneous reads of large genomes challenging because existing software solutions are often overwhelmed by error correction tasks. Here we report a hybrid assembly approach that simultaneously utilizes NGS and 3GS data to address both issues. We gain advantages from three general and basic design principles: (i) Compact representation of the long reads leads to efficient alignments. (ii) Base-level errors can be skipped; structural errors need to be detected and corrected. (iii) Structurally correct 3GS reads are assembled and polished. In our implementation, preassembled NGS contigs are used to derive the compact representation of the long reads, motivating an algorithmic conversion from a de Bruijn graph to an overlap graph, the two major assembly paradigms. Moreover, since NGS and 3GS data can compensate for each other, our hybrid assembly approach reduces both of their sequencing requirements. Experiments show that our software is able to assemble mammalian-sized genomes orders of magnitude more quickly than existing methods without consuming a lot of memory, while saving about half of the sequencing cost.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.