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Updated: Jun 24, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

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基于MEM的 pangenome索引用于k-mer查询

Stephen Hwang1, Nathaniel K Brown2, Omar Y Ahmed2

  • 1XDBio Program, Johns Hopkins University, Baltimore MD, USA.

bioRxiv : the preprint server for biology
|June 3, 2024
PubMed
概括

我们介绍了MEMO,这是一种使用最大精确匹配 (MEMs) 的新型泛基因组索引方法. MEMO有效地查询跨泛基的序列保存,提供比现有的基于k-mer的方法更小的索引大小和更快的性能.

关键词:
应用计算应用计算的应用进行比较的基因组学.压缩索引是指压缩的索引.计算基因组学是一种计算基因组学.泛基因组学是一门学科.

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