从使用ROADIES的原始基因组组合中精确,可扩展和完全自动推断物种树
Anshu Gupta1, Siavash Mirarab2, Yatish Turakhia2
1Department of Computer Science and Engineering, University of California, San Diego; San Diego, CA 92093, USA.
bioRxiv : the preprint server for biology
|June 10, 2024
概括
我们开发了ROADIES,这是一个新的自动化管道,用于从原始基因组组件中推断物种树. 这种方法比目前的方法更快,更具可扩展性,改进了进化关系分析.
科学领域:
- 进化生物学是进化的生物学.
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 种类树推断对于理解进化关系至关重要,并且具有广泛的生物和医学应用.
- 目前从原始基因组序列进行物种树估计的方法复杂,容易出错,缺乏自动化和标准化.
- 基因组测序计划产生大量数据,需要高效可靠的基因组分析工具.
研究的目的:
- 从原始基因组组合推断物种树的新,全自动化管道ROADIES的引入.
- 提供一个可扩展,用户友好和无引用的基因组学分析方法.
- 为了提高物种树木估计的准确性,速度和可重复性.
主要方法:
- ROADIES自动化了从组装的基因组直接推断物种树的推断,绕过了整基因组对齐或参考物种选择的需要.
- 该管道结合了先进的遗传学推断技术,使得多副本基因的使用成为可能,并消除了对 ортология检测的要求.
- 它在计算精度和运行时间之间提供可调节的权衡,增强灵活性.
主要成果:
- ROADIES在各种基因组数据集 (哺乳动物,,鸟类) 上展示了与最先进的方法相匹配的物种树推断质量.
- 与现有方法相比,管道大大减少了花谱分析所需的时间.
- ROADIES成功地自动化了从组装基因组到物种和基因树的所有步骤.
结论:
- ROADIES在自动化,可扩展和准确的物种树推断方面取得了重大进展.
- 管道的效率和易用性有望提高族群遗传学研究的可复制性和范围.
- 通过消除常见的瓶,ROADIES可以更深入地了解各种生命形式的进化历史.
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