NCBITaxonomy。快速查找和调和生物名称。

IF 2.6 Q2 ECOLOGY
Timothée Poisot, Rory Gibb, Sadie J Ryan, Colin J Carlson
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引用次数: 0

摘要

NCBITaxonomy。jl是一个Julia包,旨在使用NCBI分类学主干的本地副本来解决分类名称协调的复杂挑战(Federhen in Nucleic Acids Res 40:D136-D143, 2012, Schoch et al. in Database 2020:baaa062, 2020)。该包提供高级的名称匹配功能,用于处理分类数据中的常见问题,包括同义词、同音异义词、本地名称、命名更改和排版错误。核心功能包括不区分大小写的搜索、可定制的模糊字符串匹配和分类限制搜索。该软件包实现了一个健壮的异常系统,可以显式地处理不明确的匹配,而不会中断工作流的执行,从而实现对大型数据集的自动化处理。NCBITaxonomy。jl适用于Julia 1.6及以上版本,使用Apache Arrow格式实现高效的本地存储。它提供谱系导航和分类距离功能。该软件包已成功部署在大型项目中,用于自动名称协调和清理,证明了其在跨异构生物数据集的高通量名称协调方面的有效性。该设计优先考虑编程访问而不是命令行使用,使其非常适合集成到需要可靠的分类标准化的生物信息学管道中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

NCBITaxonomy.jl: rapid biological names finding and reconciliation.

NCBITaxonomy.jl: rapid biological names finding and reconciliation.

NCBITaxonomy.jl: rapid biological names finding and reconciliation.

NCBITaxonomy.jl: rapid biological names finding and reconciliation.

NCBITaxonomy.jl is a Julia package designed to address the complex challenges of taxonomic name reconciliation using a local copy of the NCBI taxonomic backbone (Federhen in Nucleic Acids Res 40:D136-D143, 2012, Schoch et al. in Database 2020:baaa062, 2020). The package provides advanced name matching capabilities that handle common issues in taxonomic data, including synonyms, homonyms, vernacular names, nomenclatural changes, and typographical errors. Core functionalities include case-insensitive search, customizable fuzzy string matching, and taxonomically-restricted searches. The package implements a robust exception system that explicitly handles ambiguous matches without interrupting workflow execution, enabling automated processing of large datasets. NCBITaxonomy.jl works with Julia 1.6 and up, uses Apache Arrow format for efficient local storage. It provides lineage navigation and taxonomic distance functions. The package has been successfully deployed in large-scale projects for automated name reconciliation and cleaning, demonstrating its effectiveness for high-throughput name reconciliation across heterogeneous biological datasets. The design prioritizes programmatic access over command-line usage, making it well-suited for integration into bioinformatics pipelines requiring reliable taxonomic standardization.

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