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nf-UnO流程:一种用于从宏基因组下一代测序疫情数据集检测新型病原体的宏基因组共组装流程。

nf-UnO pipeline: A metagenomic co-assembly pipeline for novel pathogen detection from mNGS outbreak sets.

作者信息

Guzman-Cole Candace, Huang Andrew D

机构信息

Enteric Diseases Laboratory Branch, Centers for Disease Control, Atlanta, GA 30322, United States.

出版信息

Bioinformatics. 2025 Aug 2;41(8). doi: 10.1093/bioinformatics/btaf436.

Abstract

SUMMARY

nf-UnO is a pipeline implemented in Nextflow to identify novel pathogens from metagenomic shotgun sequencing of epidemiologically related foodborne outbreak specimens. nf-UnO uses MIDAS2, metagenomic co-assembly, multiple binning programs, and read mapping to metagenomically assembled genomes to detect potential etiological agents found in common across outbreak specimens.

AVAILABILITY AND IMPLEMENTATION

https://github.com/uel3/nf-UnO.

摘要

摘要

nf-UnO是一个用Nextflow实现的流程,用于从与流行病学相关的食源性暴发样本的宏基因组鸟枪法测序中识别新型病原体。nf-UnO使用MIDAS2、宏基因组共组装、多个分箱程序以及将 reads 映射到宏基因组组装基因组上,以检测在暴发样本中共同发现的潜在病原体。

可用性和实现方式

https://github.com/uel3/nf-UnO

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本文引用的文献

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