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
  • [41] Next-Generation Anchor Based Phylogeny (NexABP): Constructing phylogeny from Next-generation sequencing data
    Tanmoy Roychowdhury
    Anchal Vishnoi
    Alok Bhattacharya
    [J]. Scientific Reports, 3
  • [42] Base-Calling Using a Random Effects Mixture Model on Next-Generation Sequencing Data
    Cacho, Ashley
    Yao, Weixin
    Cui, Xinping
    [J]. STATISTICS IN BIOSCIENCES, 2018, 10 (01) : 3 - 19
  • [43] SNVer: a statistical tool for variant calling in analysis of pooled or individual next-generation sequencing data
    Wei, Zhi
    Wang, Wei
    Hu, Pingzhao
    Lyon, Gholson J.
    Hakonarson, Hakon
    [J]. NUCLEIC ACIDS RESEARCH, 2011, 39 (19)
  • [44] Next-Generation Anchor Based Phylogeny (NexABP): Constructing phylogeny from Next-generation sequencing data
    Roychowdhury, Tanmoy
    Vishnoi, Anchal
    Bhattacharya, Alok
    [J]. SCIENTIFIC REPORTS, 2013, 3
  • [45] ParticleCall: A particle filter for base calling in next-generation sequencing systems
    Shen, Xiaohu
    Vikalo, Haris
    [J]. BMC BIOINFORMATICS, 2012, 13
  • [46] Next-generation sequencing of the next generation
    Darren J. Burgess
    [J]. Nature Reviews Genetics, 2011, 12 : 78 - 79
  • [47] ParticleCall: A particle filter for base calling in next-generation sequencing systems
    Xiaohu Shen
    Haris Vikalo
    [J]. BMC Bioinformatics, 13
  • [48] AI-enabled pipeline for virus detection, validation, and SNP discovery from next-generation sequencing data
    Ghorbani, Abozar
    Rostami, Mahsa
    Guzzi, Pietro Hiram
    [J]. FRONTIERS IN GENETICS, 2024, 15
  • [49] Learning Ecological Networks from Next-Generation Sequencing Data
    Vacher, Corinne
    Tamaddoni-Nezhad, Alireza
    Kamenova, Stefaniya
    Peyrard, Nathalie
    Moalic, Yann
    Sabbadin, Regis
    Schwaller, Loic
    Chiquet, Julien
    Smith, M. Alex
    Vallance, Jessica
    Fievet, Virgil
    Jakuschkin, Boris
    Bohan, David A.
    [J]. ECOSYSTEM SERVICES: FROM BIODIVERSITY TO SOCIETY, PT 2, 2016, 54 : 1 - 39
  • [50] Pathway analysis with next-generation sequencing data
    Jinying Zhao
    Yun Zhu
    Eric Boerwinkle
    Momiao Xiong
    [J]. European Journal of Human Genetics, 2015, 23 : 507 - 515