AlignStatPlot:一个R包和在线工具,用于强大的序列对齐统计和大数据的创新可视化.
Alsamman M Alsamman1, Achraf El Allali2, Morad M Mokhtar1,2
1Agricultural Genetic Engineering Research Institute, Giza, Egypt.
PloS one
|September 20, 2023
概括
AlignStatPlot为研究人员简化了复杂的多重序列对齐 (MSA) 后分析. 这个R包和在线工具提供了强大的数据可视化和对遗传变异的分析.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 遗传学 是一个遗传学.
背景情况:
- 多重序列对齐 (MSA) 对于识别与表型特征相关的遗传变异至关重要.
- 对于非程序员来说,对MSA数据的后分析是具有挑战性的,特别是对于大型数据集和像indels.com这样的复杂变异.
- 现有的工具缺乏综合后MSA分析,结合序列数据,基因注释和集群分析.
研究的目的:
- 推出AlignStatPlot,这是一个R包和在线工具,旨在提供可访问的MSA后分析.
- 为研究人员提供一种用户友好的解决方案,用于分析和可视化遗传多样性数据.
- 为了方便将基因级和单核酸级数据与高级分析的注释集成在一起.
主要方法:
- 开发一个R包和一个名为AlignStatPlot的基于Web的工具.
- 实施传统和先进的分析方法来测序数据.
- 为MSA结果创建新的可视化技术,包括单页查看.
主要成果:
- AlignStatPlot提供了对遗传多样性数据的强大处理和可视化.
- 该工具可实现MSA后分析,结合序列变异,基因注释和集群分析.
- 在线版本简化了分析,节省了研究人员的时间,并允许专注于解释.
结论:
- AlignStatPlot解决了对人口遗传学中用户友好的MSA后分析工具的需求.
- 该套件和在线工具增强了研究遗传变异和人口多样性的能力.
- AlignStatPlot是一个有价值的,易于使用的对现有人口遗传学软件的补充.
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