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Supporting data for "INC-Seq: accurate single molecule reads using nanopore sequencing"

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DataCite Commons2025-05-26 更新2025-04-15 收录
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http://gigadb.org/dataset/100208
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资源简介:
Nanopore sequencing provides a rapid, cheap and portable real-time sequencing platform with the potential to revolutionize genomics. However, several applications are limited by relatively high single-read error rates (>10%), including RNA-seq, haplotype sequencing and 16S sequencing. We developed the Intramolecular-ligated Nanopore Consensus Sequencing (INC-Seq) as a strategy for obtaining long and accurate nanopore reads, starting with low input DNA. Applying INC-Seq for 16S rRNA-based bacterial profiling generated full-length amplicon sequences with a median accuracy >97%. INC-Seq reads enabled accurate species-level classification, identification of species at 0.1% abundance and robust quantification of relative abundances, providing a cheap and effective approach for pathogen detection and microbiome profiling on the MinION system.

纳米孔测序(Nanopore sequencing)是一款快速、低成本且便携的实时测序平台,具备革新基因组学研究的巨大潜力。然而其单读段错误率相对较高(>10%),这一局限制约了多项应用场景,包括RNA测序(RNA-seq)、单倍型测序以及16S测序。 我们开发了分子内连接纳米孔共识测序(Intramolecular-ligated Nanopore Consensus Sequencing,INC-Seq)技术,旨在从低起始量DNA样本中获取长读长且高精度的纳米孔测序读段。将INC-Seq应用于基于16S rRNA的细菌菌群分析时,可获得全长扩增子序列,其序列中位准确率超过97%。 INC-Seq读段可实现精准的物种水平分类、对丰度低至0.1%的物种进行有效鉴定,并可对物种相对丰度进行可靠定量,为基于MinION系统的病原体检测与微生物组分析提供了一种低成本且高效的技术方案。
提供机构:
GigaScience Database
创建时间:
2016-07-28
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