深度测序
DNA测序
全基因组测序
生物
基因组
人类免疫缺陷病毒(HIV)
计算生物学
病毒学
遗传学
基因
作者
Mary E. Pacold,Davey M. Smith,Susan J. Little,Pok Man Cheng,Parris S. Jordan,Caroline Ignacio,Douglas D. Richman,Sergei L. Kosakovsky Pond
标识
DOI:10.1089/aid.2010.0042
摘要
Current methods to detect intraclade HIV dual infection are poorly suited for determining its prevalence in large cohorts. To investigate the potential of ultra-deep sequencing to screen for dual infection, we compared it to bulk sequence-based synonymous mixture index and the current standard of single genome sequencing. The synonymous mixture index identified samples likely to harbor dual infection, while ultra-deep sequencing captured more intra-host viral diversity than single genome sequencing at approximately 40% of the cost and 20% of the laboratory and analysis time. The synonymous mixture index and ultra-deep sequencing are promising methods for rapid and cost-effective systematic identification of HIV dual infection.
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