gcxgclab:用于二维气色谱预处理和分析的R包
Stephanie N Gamble1, Caroline O Granger1, Joseph M Mannion1
1Savannah River National Laboratory, Aiken, South Carolina 29808, United States.
Analytical chemistry
|October 16, 2024
概括
一个新的R包,gcxgclab,提供开源,可定制的数据处理,用于全面的二维气色谱 (GC×GC) 分析. 该工具可以提高复杂样本的有针对性和非有针对性的分析的吞吐量.
科学领域:
- 分析化学 分析化学
- 染色体学 染色体学 是一种染色学.
- 数据科学数据科学数据科学
背景情况:
- 综合二维气相色谱 (GC×GC) 可以生成大型复杂的数据集.
- 现有的GC×GC软件通常仅限于桌面上的低通量定性分析.
- 商业软件的有限灵活性阻碍了对新型数据处理方法的探索.
研究的目的:
- 开发一个开源的R包, gcxgclab,用于高效的GC×GC数据处理.
- 为商业GC×GC软件提供一个可定制和灵活的替代方案.
- 为了实现复杂的GC×GC数据的高通量分析.
主要方法:
- 开发"gcxgclab"R套件的开发工作.
- 实现用于基线校正,平滑,峰值检测和对齐的功能.
- 包括用于提取离子染色体生成,质谱提取和质量缺陷分析的工具.
- 支持针对性和非针对性数据分析.
主要成果:
- gcxgclab软件包提供了一个全面的数据预处理和分析功能套件.
- 该软件包支持可定制的工作流程和批处理.
- gcxgclab在各种计算系统上为GC×GC数据分析提供了更高的吞吐量.
结论:
- gcxgclab提供了一个灵活的开源解决方案,用于GC×GC数据分析.
- 该套件提高了研究人员处理复杂染色学数据的效率和能力.
- gcxgclab在CRAN上免费提供,促进更广泛的采用和开发.
相关概念视频
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