Literature DB >> 31589307

VISOR: a versatile haplotype-aware structural variant simulator for short- and long-read sequencing.

Davide Bolognini1,2, Ashley Sanders3, Jan O Korbel3, Alberto Magi4, Vladimir Benes2, Tobias Rausch2,3.   

Abstract

SUMMARY: VISOR is a tool for haplotype-specific simulations of simple and complex structural variants (SVs). The method is applicable to haploid, diploid or higher ploidy simulations for bulk or single-cell sequencing data. SVs are implanted into FASTA haplotypes at single-basepair resolution, optionally with nearby single-nucleotide variants. Short or long reads are drawn at random from these haplotypes using standard error profiles. Double- or single-stranded data can be simulated and VISOR supports the generation of haplotype-tagged BAM files. The tool further includes methods to interactively visualize simulated variants in single-stranded data. The versatility of VISOR is unmet by comparable tools and it lays the foundation to simulate haplotype-resolved cancer heterogeneity data in bulk or at single-cell resolution.
AVAILABILITY AND IMPLEMENTATION: VISOR is implemented in python 3.6, open-source and freely available at https://github.com/davidebolo1993/VISOR. Documentation is available at https://davidebolo1993.github.io/visordoc/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Year:  2020        PMID: 31589307     DOI: 10.1093/bioinformatics/btz719

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  6 in total

1.  SVision: a deep learning approach to resolve complex structural variants.

Authors:  Jiadong Lin; Songbo Wang; Peter A Audano; Deyu Meng; Jacob I Flores; Walter Kosters; Xiaofei Yang; Peng Jia; Tobias Marschall; Christine R Beck; Kai Ye
Journal:  Nat Methods       Date:  2022-09-16       Impact factor: 47.990

2.  Dysgu: efficient structural variant calling using short or long reads.

Authors:  Kez Cleal; Duncan M Baird
Journal:  Nucleic Acids Res       Date:  2022-05-20       Impact factor: 19.160

3.  TRiCoLOR: tandem repeat profiling using whole-genome long-read sequencing data.

Authors:  Davide Bolognini; Alberto Magi; Vladimir Benes; Jan O Korbel; Tobias Rausch
Journal:  Gigascience       Date:  2020-10-07       Impact factor: 6.524

4.  A benchmark of structural variation detection by long reads through a realistic simulated model.

Authors:  Nicolas Dierckxsens; Tong Li; Joris R Vermeesch; Zhi Xie
Journal:  Genome Biol       Date:  2021-12-15       Impact factor: 13.583

5.  Comprehensive evaluation of structural variant genotyping methods based on long-read sequencing data.

Authors:  Xiaoke Duan; Mingpei Pan; Shaohua Fan
Journal:  BMC Genomics       Date:  2022-04-23       Impact factor: 4.547

6.  Long-read-based human genomic structural variation detection with cuteSV.

Authors:  Tao Jiang; Yongzhuang Liu; Yue Jiang; Junyi Li; Yan Gao; Zhe Cui; Yadong Liu; Bo Liu; Yadong Wang
Journal:  Genome Biol       Date:  2020-08-03       Impact factor: 13.583

  6 in total

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