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验证网络应用程序使用遗传距离来确定虫物种边界和帮助识别的有效性
Abigail Hui En Chan1, Urusa Thaenkham1, Tanaphum Wichaita2
1Department of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
BMC bioinformatics
|March 19, 2025
概括
一个新的基于R的应用程序,ABIapp (应用分类界限用于虫的物种识别),有助于识别寄生虫虫. 这个工具提供了精确的物种边界可视化,改善了研究人员对虫的识别.
科学领域:
- 寄生虫学的寄生虫学
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 寄生因其多样性而存在识别挑战.
- 现有的工具缺乏对虫特有的分子识别能力.
- 一个新的应用程序,ABIapp,被开发来解决这个缺口.
研究的目的:
- 开发和验证一个用户友好的应用程序,用于可视化虫的分类学界限.
- 帮助研究人员识别线虫,三虫和虫的分子物种.
- 为确定物种界限建立和应用遗传距离切线.
主要方法:
- 使用R和Shiny框架开发了ABIapp.
- 利用基因距离切断的数据库,通过K-means集群确定.
- 使用in silico数据 (591个遗传距离) 和实际标本 (十个) 验证了该工具.
- 将ABIapp的准确性与其他在线识别平台进行比较.
主要成果:
- 在真实实体样本中,ABIapp的精度达到76%和75%的精度.
- 与现有在线平台相比,证明了更高的分类准确性.
- 突出了用户友好的界面和最小的数据要求.
结论:
- ABIapp是一款开创性的,针对虫的特定工具,用于物种界限的确定和识别.
- 通过为研究人员提供宝贵的资源,增强了虫学研究.
- 为了提高准确性和实用性,ABIapp数据库将每年更新一次.
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