Evidence map›Paper›PMID 29126390›Full record

ArticleBMC bioinformatics2017

Reference-guided de novo assembly approach improves genome reconstruction for related species.

Heidi E L Lischer, Kentaro K Shimizu

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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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74citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

74 citing papers in PubMed.

  1. Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026
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14 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Heidi E L LischerDepartment of Evolutionary Biology and Environmental Studies (IEU), University of Zurich, Zurich, Switzerland. heidi.lischer@ieu.uzh.ch.
Kentaro K ShimizuDepartment of Evolutionary Biology and Environmental Studies (IEU), University of Zurich, Zurich, Switzerland.

Funding

JST CREST JPMJCR16O3MEXT Kakenhi 16H06469
6 · The paper itself

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.

Indexed as

Genome, PlantArabidopsisGenomicsHigh-Throughput Nucleotide SequencingReference StandardsReproducibility of ResultsSpecies SpecificityAssembly evaluationDe novoGenome assemblyReference-guidedRelated species

Identifiers

PMID29126390
PMCPMC5681816

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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.