下一代基于测序的工具还是基于纳米孔的工具:哪个更适合于纳米孔测序的短串联重复序列基因分型?

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Bioinformatics advances Pub Date : 2025-06-12 eCollection Date: 2025-01-01 DOI:10.1093/bioadv/vbaf119
Wei Han, Xuemei Zhang, Qingzhen Zhang, Zhe Zhou
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引用次数: 0

摘要

研究动机:短串联重复序列(STRs)被广泛认为是个体鉴定的关键遗传标记。由于其便携性,纳米孔测序技术有望成为现场STR检测的有效工具。最初,低测序质量导致了各种专门为纳米孔数据定制的基因分型工具的发展。然而,纳米孔测序质量的最新进展表明,为下一代测序(NGS)设计的工具可能比专门为纳米孔测序开发的工具更适合分析纳米孔数据。结果:我们选择了两个测序平台,MinION Mk1C和PolySeqOne,从61个不相关的个体样本中生成测序数据。使用定制的NanoSTR面板扩增样本,其中包括31个常染色体str (a - str)和31个Y染色体str (Y- str)。测序数据分析使用四种不同的工具:NASTRA, STRspy, strings和STRait Razor。我们的研究结果表明,strings对a -STRs和Y-STRs都具有更高的准确性,从而能够准确检测广泛的STRs。与string相比,NASTRA表现出更大的STR深度和更多的非整数口吃。因此,在实际应用中,strings在基因分型方面表现出较高的可靠性。可用性和实现:NASTRA, STRspy, strings和STRaitRazor,可通过以下链接分别访问:https://github.com/renzilin/NASTRA, https://github.com/unique379r/strspy, https://bitbucket.org/rirgabiss/strinngs/src/master和https://github.com/Ahhgust/STRaitRazor。进程中的命令是根据相应作者的要求提供的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Next-generation sequencing-based tools or nanopore-based tools: which is more suitable for short tandem repeats genotyping of nanopore sequencing?

Motivation: Short tandem repeats (STRs) are widely recognized as critical genetic markers for individual identification. Nanopore sequencing technology holds promise as an effective tool for onsite STR detection owing to its portability. Initially, low sequencing quality led to the development of various genotyping tools specifically tailored for nanopore data. However, recent advancements in nanopore sequencing quality suggest that tools designed for next-generation sequencing (NGS) may be more suitable for analyzing nanopore data than those specifically developed for nanopore sequencing.

Results: We selected two sequencing platforms, MinION Mk1C, and PolySeqOne, to generate sequencing data from 61 unrelated individual samples. Samples were amplified using a custom NanoSTR panel that included 31 autosomal STRs (A-STRs) and 31 Y chromosomal STRs (Y-STRs). Sequencing data were analyzed using four distinct tools: NASTRA, STRspy, STRinNGS, and STRait Razor. Our findings indicated that STRinNGS showed greater accuracy for both A-STRs and Y-STRs, enabling the accurate detection of a broad range of STRs. Compared with STRinNGS, NASTRA exhibited greater STR depth and featured more non-integer stutters. Therefore, in practical applications, STRinNGS demonstrates high reliability in genotyping.

Availability and implementation: NASTRA, STRspy, STRinNGS and STRait Razor, which can be accessed via the following links: https://github.com/renzilin/NASTRA, https://github.com/unique379r/strspy, https://bitbucket.org/rirgabiss/strinngs/src/master, and https://github.com/Ahhgust/STRaitRazor, respectively. The commands during process are provided as requested by the corresponding author.

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