Literature DB >> 33765921

SLR-superscaffolder: a de novo scaffolding tool for synthetic long reads using a top-to-bottom scheme.

Lidong Guo1,2,3, Mengyang Xu2,3,4,5, Wenchao Wang2, Shengqiang Gu1, Xia Zhao6, Fang Chen6, Ou Wang4,5, Xun Xu4,5, Inge Seim7,8, Guangyi Fan2,3,4,5, Li Deng9,10,11,12, Xin Liu13,14,15,16.   

Abstract

BACKGROUND: Synthetic long reads (SLR) with long-range co-barcoding information are now widely applied in genomics research. Although several tools have been developed for each specific SLR technique, a robust standalone scaffolder with high efficiency is warranted for hybrid genome assembly.
RESULTS: In this work, we developed a standalone scaffolding tool, SLR-superscaffolder, to link together contigs in draft assemblies using co-barcoding and paired-end read information. Our top-to-bottom scheme first builds a global scaffold graph based on Jaccard Similarity to determine the order and orientation of contigs, and then locally improves the scaffolds with the aid of paired-end information. We also exploited a screening algorithm to reduce the negative effect of misassembled contigs in the input assembly. We applied SLR-superscaffolder to a human single tube long fragment read sequencing dataset and increased the scaffold NG50 of its corresponding draft assembly 1349 fold. Moreover, benchmarking on different input contigs showed that this approach overall outperformed existing SLR scaffolders, providing longer contiguity and fewer misassemblies, especially for short contigs assembled by next-generation sequencing data. The open-source code of SLR-superscaffolder is available at https://github.com/BGI-Qingdao/SLR-superscaffolder .
CONCLUSIONS: SLR-superscaffolder can dramatically improve the contiguity of a draft assembly by integrating a hybrid assembly strategy.

Entities:  

Keywords:  Genome assembly; Next-generation sequencing; Scaffolding; Synthetic long reads

Mesh:

Year:  2021        PMID: 33765921      PMCID: PMC7993450          DOI: 10.1186/s12859-021-04081-z

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  34 in total

1.  Hierarchical scaffolding with Bambus.

Authors:  Mihai Pop; Daniel S Kosack; Steven L Salzberg
Journal:  Genome Res       Date:  2004-01       Impact factor: 9.043

2.  CNGBdb: China National GeneBank DataBase.

Authors:  Feng Zhen Chen; Li Jin You; Fan Yang; Li Na Wang; Xue Qin Guo; Fei Gao; Cong Hua; Cong Tan; Lin Fang; Ri Qiang Shan; Wen Jun Zeng; Bo Wang; Ren Wang; Xun Xu; Xiao Feng Wei
Journal:  Yi Chuan       Date:  2020-08-20

3.  Identifying structural variants using linked-read sequencing data.

Authors:  Rebecca Elyanow; Hsin-Ta Wu; Benjamin J Raphael
Journal:  Bioinformatics       Date:  2018-01-15       Impact factor: 6.937

4.  Whole-genome haplotyping by dilution, amplification, and sequencing.

Authors:  Fiona Kaper; Sajani Swamy; Brandy Klotzle; Sarah Munchel; Joseph Cottrell; Marina Bibikova; Han-Yu Chuang; Semyon Kruglyak; Mostafa Ronaghi; Michael A Eberle; Jian-Bing Fan
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-18       Impact factor: 11.205

5.  Accurate whole-genome sequencing and haplotyping from 10 to 20 human cells.

Authors:  Brock A Peters; Bahram G Kermani; Andrew B Sparks; Oleg Alferov; Peter Hong; Andrei Alexeev; Yuan Jiang; Fredrik Dahl; Y Tom Tang; Juergen Haas; Kimberly Robasky; Alexander Wait Zaranek; Je-Hyuk Lee; Madeleine Price Ball; Joseph E Peterson; Helena Perazich; George Yeung; Jia Liu; Linsu Chen; Michael I Kennemer; Kaliprasad Pothuraju; Karel Konvicka; Mike Tsoupko-Sitnikov; Krishna P Pant; Jessica C Ebert; Geoffrey B Nilsen; Jonathan Baccash; Aaron L Halpern; George M Church; Radoje Drmanac
Journal:  Nature       Date:  2012-07-11       Impact factor: 49.962

6.  Genome assembly from synthetic long read clouds.

Authors:  Volodymyr Kuleshov; Michael P Snyder; Serafim Batzoglou
Journal:  Bioinformatics       Date:  2016-06-15       Impact factor: 6.937

7.  ARKS: chromosome-scale scaffolding of human genome drafts with linked read kmers.

Authors:  Lauren Coombe; Jessica Zhang; Benjamin P Vandervalk; Justin Chu; Shaun D Jackman; Inanc Birol; René L Warren
Journal:  BMC Bioinformatics       Date:  2018-06-20       Impact factor: 3.169

8.  HAPDeNovo: a haplotype-based approach for filtering and phasing de novo mutations in linked read sequencing data.

Authors:  Xin Zhou; Serafim Batzoglou; Arend Sidow; Lu Zhang
Journal:  BMC Genomics       Date:  2018-06-18       Impact factor: 3.969

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

10.  ARCS: scaffolding genome drafts with linked reads.

Authors:  Sarah Yeo; Lauren Coombe; René L Warren; Justin Chu; Inanç Birol
Journal:  Bioinformatics       Date:  2018-03-01       Impact factor: 6.937

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