Genotype and SNP calling from next-generation sequencing data

被引:0
|
作者
Rasmus Nielsen
Joshua S. Paul
Anders Albrechtsen
Yun S. Song
机构
[1] University of California,Department of Integrative Biology
[2] Centre for Bioinformatics,Department of Statistics
[3] University of Copenhagen,Department of Electrical Engineering and Computer Sciences
[4] University of California,undefined
[5] University of California,undefined
来源
Nature Reviews Genetics | 2011年 / 12卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Converting next-generation sequencing (NGS) image files into a set of called SNPs involves a number of steps including image analysis, alignment and assembly, SNP calling and genotype calling.Genotype probabilities for a single individual can be calculated from alignments using recalibrated quality scores.SNP calling and genotype calling is best done using information from multiple individuals simultaneously. The pattern of linkage disequilibrium should be used to call SNPs and genotypes when possible.Analyses of low coverage data can proceed by taking uncertainty in the genotype calls into account, rather than assuming any particular genotype call is correct.The methods used for calling SNPs and for taking uncertainty in SNP genotypes into account can have a strong effect on downstream analyses, including association mapping analyses.
引用
收藏
页码:443 / 451
页数:8
相关论文
共 50 条
  • [21] Steps to ensure accuracy in genotype and SNP calling from Illumina sequencing data
    Qi Liu
    Yan Guo
    Jiang Li
    Jirong Long
    Bing Zhang
    Yu Shyr
    BMC Genomics, 13
  • [22] Steps to ensure accuracy in genotype and SNP calling from Illumina sequencing data
    Liu, Qi
    Guo, Yan
    Li, Jiang
    Long, Jirong
    Zhang, Bing
    Shyr, Yu
    BMC GENOMICS, 2012, 13
  • [23] Comparison of insertion/deletion calling algorithms on human next-generation sequencing data
    Ghoneim D.H.
    Myers J.R.
    Tuttle E.
    Paciorkowski A.R.
    BMC Research Notes, 7 (1)
  • [24] SEG-Map: A Novel Software for Genotype Calling and Genetic Map Construction from Next-generation Sequencing
    Zhao, Qiang
    Huang, Xuehui
    Lin, Zhixin
    Han, Bin
    RICE, 2010, 3 (2-3) : 98 - 102
  • [25] SEG-Map: A Novel Software for Genotype Calling and Genetic Map Construction from Next-generation Sequencing
    Qiang Zhao
    Xuehui Huang
    Zhixin Lin
    Bin Han
    Rice, 2010, 3 : 98 - 102
  • [26] NGSNGS: next-generation simulator for next-generation sequencing data
    Henriksen, Rasmus Amund
    Zhao, Lei
    Korneliussen, Thorfinn Sand
    BIOINFORMATICS, 2023, 39 (01)
  • [27] Evaluating Variant Calling Tools for Non-Matched Next-Generation Sequencing Data
    Sarah Sandmann
    Aniek O. de Graaf
    Mohsen Karimi
    Bert A. van der Reijden
    Eva Hellström-Lindberg
    Joop H. Jansen
    Martin Dugas
    Scientific Reports, 7
  • [28] Empirical Bayes single nucleotide variant-calling for next-generation sequencing data
    Karimnezhad, Ali
    Perkins, Theodore J.
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [29] A review of somatic single nucleotide variant calling algorithms for next-generation sequencing data
    Xu, Chang
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2018, 16 : 15 - 24
  • [30] Evaluating Variant Calling Tools for Non-Matched Next-Generation Sequencing Data
    Sandmann, Sarah
    de Graaf, Aniek O.
    Karimi, Mohsen
    van der Reijden, Bert A.
    Hellstrom-Lindberg, Eva
    Jansen, Joop H.
    Dugas, Martin
    SCIENTIFIC REPORTS, 2017, 7