一个评价纳米孔测序质量和连接效率的交互式工具。

IF 0.7 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Maria A Grigoryeva, Maria G Khrenova, Maria I Zvereva
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引用次数: 0

摘要

在纳米孔测序中,特别是在基于selex的适体发现中,人工序列(引物、适配器、条形码)的正确连接对文库质量至关重要。这一阶段的错误可能导致序列的错误识别和宝贵信息的丢失。现有的质量控制工具缺乏集中的能力来评估这些人工序列的定位和流行程度。NanoporeInspect是一个基于网络的工具,旨在填补这一空白,提供有针对性的见解,结扎效果和测序数据的系统性偏差。NanoporeInspect是一个用户友好的、基于web的平台,它利用Flask、芹菜和Redis的现代软件堆栈来处理可扩展和异步任务处理,并使用Plotly来提供交互式可视化。在各种纳米孔数据集上对NanoporeInspect的评估证明了它在识别连接质量差异方面的有效性。连接效率不高的文库适配器和条形码分布不规则,说明存在准备问题;而连接效率高的文库适配器和条形码分布均匀,说明连接效率高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NanoporeInspect: An interactive tool for evaluating nanopore sequencing quality and ligation efficiency.

In nanopore sequencing, especially in SELEX-based aptamer discovery, the correct ligation of artificial sequences (primers, adapters, barcodes) is crucial for library quality. Errors at this stage can lead to misidentification of sequences and loss of valuable information. Existing quality control tools lack focused capabilities to assess the positioning and prevalence of these artificial sequences. NanoporeInspect is a web-based tool designed to fill this gap by providing targeted insights into ligation efficacy and systematic biases within sequencing data. NanoporeInspect operates as a user-friendly, web-based platform that leverages a modern software stack with Flask, Celery and Redis to handle scalable and asynchronous task processing, and Plotly to deliver interactive visualizations. Evaluation of NanoporeInspect on various nanopore datasets demonstrated its effectiveness in discerning differences in ligation quality. Libraries with inefficient ligation showed irregular adapter and barcode distributions, indicating preparation issues, while high-quality libraries displayed uniform patterns, reflecting effective ligation.

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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
期刊介绍: The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.
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