使用纳米孔和PacBio进行长读元基因组测序的计算工具和资源。

IF 7.9
Tianyuan Zhang, Mian Jiang, Hanzhou Li, Yunyun Gao, Salsabeel Yousuf, Kaimin Yu, Xinxin Yi, Jun Wang, Lulu Yang, Yong-Xin Liu
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引用次数: 0

摘要

近年来,霰弹枪宏基因组学领域取得了显著的进步,这主要是由于下一代测序技术的发展和完善,特别是像Nanopore和PacBio这样的长读测序平台。这些平台大大提高了直接从环境样品中分析微生物群落的能力,提供了有关其组成、功能和动态的有价值信息,而无需纯培养。这些技术通过处理更长的读取、更高的错误率和复杂的数据,增强了宏基因组数据的组装、注释和分析。在这篇综述中,我们提供了长读宏基因组学的历史发展的全面概述,突出了重要的里程碑和进展。我们还探讨了长读元基因组学的各种应用,强调其在各个领域的影响。此外,我们总结了必要的计算资源,包括软件,数据库和软件包,开发提高宏基因组分析的效率和准确性。最后,我们提供了一个实用指南,用于安装和使用GitHub (https://github.com/zhangtianyuan666/LongMetagenome)上可用的著名软件。总之,这篇综述通过提供成功利用资源的路线图和强调创新的可能性,帮助宏基因组学界以前所未有的深度探索微生物生命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Tools and Resources for Long-read Metagenomic Sequencing Using Nanopore and PacBio.

In recent years, the field of shotgun metagenomics has witnessed remarkable advancements, primarily driven by the development and refinement of next-generation sequencing technologies, particularly long-read sequencing platforms such as Nanopore and PacBio. These platforms have significantly improved the ability to analyze microbial communities directly from environmental samples, providing valuable information on their composition, function, and dynamics without the need for pure cultivation. These technologies enhance metagenomic data assembly, annotation, and analysis by addressing longer reads, higher error rates, and complex data. In this review, we provide a comprehensive overview of the historical development of long-read metagenomics, highlighting significant landmarks and advancements. We also explore the diverse applications of long-read metagenomics, emphasizing its impact across various fields. Additionally, we summarize the essential computational resources, including software, databases, and packages, developed to enhance the efficiency and accuracy of metagenomic analysis. Finally, we provide a practical guide for the installation and use of notable software available on GitHub (https://github.com/zhangtianyuan666/LongMetagenome). Overall, this review assists the metagenomics community in exploring microbial life in unprecedented depth by providing a roadmap for successful resource utilization and emphasizing possibilities for innovation.

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