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PMID: 23587118 Published · epublish English Journal Article

SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.

GigaScience ·Vol. 1 ·No. 1 ·2012-12-27 ·Pages 18

Luo R, Liu B, Xie Y, Li Z, Huang W, Yuan J, He G, Chen Y, Pan Q, Liu Y, Tang J, Wu G, Zhang H, Shi Y, Liu Y, Yu C, Wang B, Lu Y, Han C, Cheung DW, Yiu SM, Peng S, Xiaoqian Z, Liu G, Liao X, Li Y, Yang H, Wang J, Lam TW, Wang J

Abstract

There is a rapidly increasing amount of de novo genome assembly using next-generation sequencing (NGS) short reads; however, several big challenges remain to be overcome in order for this to be efficient and accurate. SOAPdenovo has been successfully applied to assemble many published genomes, but it still needs improvement in continuity, accuracy and coverage, especially in repeat regions. To overcome these challenges, we have developed its successor, SOAPdenovo2, which has the advantage of a new algorithm design that reduces memory consumption in graph construction, resolves more repeat regions in contig assembly, increases coverage and length in scaffold construction, improves gap closing, and optimizes for large genome. Benchmark using the Assemblathon1 and GAGE datasets showed that SOAPdenovo2 greatly surpasses its predecessor SOAPdenovo and is competitive to other assemblers on both assembly length and accuracy. We also provide an updated assembly version of the 2008 Asian (YH) genome using SOAPdenovo2. Here, the contig and scaffold N50 of the YH genome were ~20.9 kbp and ~22 Mbp, respectively, which is 3-fold and 50-fold longer than the first published version. The genome coverage increased from 81.16% to 93.91%, and memory consumption was ~2/3 lower during the point of largest memory consumption.

Authors & Affiliations
30 authors, click to expand affiliations / ORCID
Luo Ruibang
BGI HK Research Institute, 16 Dai Fu Street, Tai Po Industrial Estate, Hong Kong. [email protected].
Liu Binghang
Xie Yinlong
Li Zhenyu
Huang Weihua
Yuan Jianying
He Guangzhu
Chen Yanxiang
Pan Qi
Liu Yunjie
Tang Jingbo
Wu Gengxiong
Zhang Hao
Shi Yujian
Liu Yong
Yu Chang
Wang Bo
Lu Yao
Han Changlei
Cheung David W
Yiu Siu-Ming
Peng Shaoliang
Xiaoqian Zhu
Liu Guangming
Liao Xiangke
Li Yingrui
Yang Huanming
Wang Jian
Lam Tak-Wah
Wang Jun
References (12)
12 references, click to expand
  1. Shotgun sequence assembly and recent segmental duplications within the human genome.
    Nature. 2004 Oct 21;431(7011):927-30 PMID: 15496912
  2. SOPRA: Scaffolding algorithm for paired reads via statistical optimization.
    BMC Bioinformatics. 2010 Jun 24;11:345 PMID: 20576136
  3. Velvet: algorithms for de novo short read assembly using de Bruijn graphs.
    Genome Res. 2008 May;18(5):821-9 PMID: 18349386
  4. The diploid genome sequence of an Asian individual.
    Nature. 2008 Nov 6;456(7218):60-5 PMID: 18987735
  5. IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth.
    Bioinformatics. 2012 Jun 1;28(11):1420-8 PMID: 22495754
  6. Limitations of next-generation genome sequence assembly.
    Nat Methods. 2011 Jan;8(1):61-5 PMID: 21102452
  7. High-quality draft assemblies of mammalian genomes from massively parallel sequence data.
    Proc Natl Acad Sci U S A. 2011 Jan 25;108(4):1513-8 PMID: 21187386
  8. GAGE: A critical evaluation of genome assemblies and assembly algorithms.
    Genome Res. 2012 Mar;22(3):557-67 PMID: 22147368
  9. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.
    Gigascience. 2012 Dec 27;1(1):18 PMID: 23587118
  10. Exploiting sparseness in de novo genome assembly.
    BMC Bioinformatics. 2012 Apr 19;13 Suppl 6:S1 PMID: 22537038
  11. De novo assembly of human genomes with massively parallel short read sequencing.
    Genome Res. 2010 Feb;20(2):265-72 PMID: 20019144
  12. Assemblathon 1: a competitive assessment of de novo short read assembly methods.
    Genome Res. 2011 Dec;21(12):2224-41 PMID: 21926179
Article Info
Journal
GigaScience
Abbr.
Gigascience
ISSN
2047-217X
Published
2012-12-27
Epub
2012-00-27
Pages
18
Language
English
Region
United States
NLM ID
101596872
PMCID
PMC3626529
Corrections
ErratumIn
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