ArticleBMC bioinformatics2017
Reference-guided de novo assembly approach improves genome reconstruction for related species.
Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
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Who cites it
74 citing papers in PubMed.
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- Interpreting antimicrobial resistance from bacterial whole-genome sequencing: prediction tools, database fragmentation, analytical trade-offs, and harmonized reporting.Frontiers in microbiology · 2026Review
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- Genomic and Precision Medicine Approaches in Atherosclerotic Cardiovascular Disease: From Risk Prediction to Therapy-A Review.Biomedicines · 2025Review
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- Sensitivity of transcriptomics: Different samples and methodology alter conclusions in Gulf pipefish (Syngnathus scovelli).The Journal of heredity · 2025Article
- Chromosome-level reference genome assembly of the gyrfalcon (Falco rusticolus) and population genomics offer insights into the falcon population in Mongolia.Scientific reports · 2025Article
- Comparative transcriptomics reveal stage-dependent parasitic adaptations in the myxozoan Sphaerospora molnari.BMC genomics · 2025Article
- Genome-Guided and De Novo Transcriptome Analysis of a Newly IsolatedInternational journal of genomics · 2025Article
- BonoboFlow: viral genome assembly and haplotype reconstruction from nanopore reads.Bioinformatics advances · 2025Article
- Essential nucleic acid omics: a theoretical foundation for early-stage users.Frontiers in bioinformatics · 2025Review
- Production and characterization of bacterial cellulose synthesized by Enterobacter chuandaensis strain AEC using Phoenix dactylifera and Musa acuminata.Archives of microbiology · 2024Article
- Production and analysis of synthesized bacterial cellulose by Enterococcus faecalis strain AEF using Phoenix dactylifera and Musa acuminata fruit extracts.World journal of microbiology & biotechnology · 2024Article
- MHConstructor: a high-throughput, haplotype-informed solution to the MHC assembly challenge.Genome biology · 2024Article
- Soil microbiome characterization and its future directions with biosensing.Journal of biological engineering · 2024Article
14 more citing papers are in PubMed but not listed here.
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2 authors.
Funding
Abstract
backgroundThe development of next-generation sequencing has made it possible to sequence whole genomes at a relatively low cost. However, de novo genome assemblies remain challenging due to short read length, missing data, repetitive regions, polymorphisms and sequencing errors. As more and more genomes are sequenced, reference-guided assembly approaches can be used to assist the assembly process. However, previous methods mostly focused on the assembly of other genotypes within the same species. We adapted and extended a reference-guided de novo assembly approach, which enables the usage of a related reference sequence to guide the genome assembly. In order to compare and evaluate de novo and our reference-guided de novo assembly approaches, we used a simulated data set of a repetitive and heterozygotic plant genome.
resultsThe extended reference-guided de novo assembly approach almost always outperforms the corresponding de novo assembly program even when a reference of a different species is used. Similar improvements can be observed in high and low coverage situations. In addition, we show that a single evaluation metric, like the widely used N50 length, is not enough to properly rate assemblies as it not always points to the best assembly evaluated with other criteria. Therefore, we used the summed z-scores of 36 different statistics to evaluate the assemblies.
conclusionsThe combination of reference mapping and de novo assembly provides a powerful tool to improve genome reconstruction by integrating information of a related genome. Our extension of the reference-guided de novo assembly approach enables the application of this strategy not only within but also between related species. Finally, the evaluation of genome assemblies is often not straight forward, as the truth is not known. Thus one should always use a combination of evaluation metrics, which not only try to assess the continuity but also the accuracy of an assembly.
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