LDscaff : LD-based scaffolding of de novo genome assemblies

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

2 Scopus Citations
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Author(s)

  • Yingxiao Zhou
  • Xiuqing Zhang
  • Changfa Wang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number570
Journal / PublicationBMC Bioinformatics
Volume21
Issue numberSuppl 21
Online published28 Dec 2020
Publication statusPublished - 2020

Link(s)

Abstract

Background: Genome assembly is fundamental for de novo genome analysis. Hybrid assembly, utilizing various sequencing technologies increases both contiguity and accuracy. While such approaches require extra costly sequencing efforts, the information provided millions of existed whole-genome sequencing data have not been fully utilized to resolve the task of scaffolding. Genetic recombination patterns in population data indicate non-random association among alleles at different loci, can provide physical distance signals to guide scaffolding. 

Results: In this paper, we propose LDscaff for draft genome assembly incorporating linkage disequilibrium information in population data. We evaluated the performance of our method with both simulated data and real data. We simulated scaffolds by splitting the pig reference genome and reassembled them. Gaps between scaffolds were introduced ranging from 0 to 100 KB. The genome misassembly rate is 2.43% when there is no gap. Then we implemented our method to refine the Giant Panda genome and the donkey genome, which are purely assembled by NGS data. After LDscaff treatment, the resulting Panda assembly has scaffold N50 of 3.6 MB, 2.5 times larger than the original N50 (1.3 MB). The re-assembled donkey assembly has an improved N50 length of 32.1 MB from 23.8 MB. 

Conclusions: Our method effectively improves the assemblies with existed re-sequencing data, and is an potential alternative to the existing assemblers required for the collection of new data.

Research Area(s)

  • De novo assembly, Linkage disequilibrium, Maximum weighted matching

Citation Format(s)

LDscaff : LD-based scaffolding of de novo genome assemblies. / Zhao, Zicheng; Zhou, Yingxiao; Wang, Shuai; Zhang, Xiuqing; Wang, Changfa; Li, Shuaicheng.

In: BMC Bioinformatics, Vol. 21, No. Suppl 21, 570, 2020.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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