category
Nature Methods
date
Feb 9, 2026
slug
status
Published
summary
开发了处理突变速率变异和重复序列错误的新方法,构建了更精确的全球新冠病毒系统发育树
tags
测序技术
蛋白质进化
type
Post

📄 原文题目

Rate variation and recurrent sequence errors in pandemic-scale phylogenetics

🔗 原文链接

💡 AI 核心解读

开发了处理突变速率变异和重复序列错误的新方法,构建了更精确的全球新冠病毒系统发育树

📝 英文原版摘要

<p>Nature Methods, Published online: 09 February 2026; <a href="https://www.nature.com/articles/s41592-025-02932-8">doi:10.1038/s41592-025-02932-8</a></p>Performing pandemic-scale phylogenetic analysis poses multifaceted challenges. This study develops methods for identifying and accounting for mutation rate variation and recurrent sequence errors, leading to an improved global phylogenetic tree of >2 million severe acute respiratory syndrome coronavirus 2 genomes.
解决全球范围内SARS-CoV-2系统进化树中的系统性错误按需整合酶:靶向基因组插入遗传货物的整合酶生物勘探
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