目前的方法和突出的挑战的功能注释的代谢物:一个全面的审查
Quang-Huy Nguyen1, Ha Nguyen1, Edwin C Oh2
1Department of Computer Science and Software Engineering, Auburn University, Auburn, AL 36849, United States.
Briefings in bioinformatics
|October 14, 2024
概括
代谢物概况通过分析代谢途径来帮助诊断疾病. 本综述评估了24种对代谢学数据的功能分析方法,指导研究人员选择适合复杂疾病研究的工具.
科学领域:
- 生物化学和生物信息学
- 系统生物学 系统生物学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 代谢物分析对于诊断癌症和心脏代谢障碍等复杂疾病至关重要.
- 对代谢学数据的系统级解读需要强大的途径识别方法.
研究的目的:
- 提供对24种功能分析方法对代谢学数据的全面审查.
- 引导生命科学家根据数据类型,输入格式和所需分析选择合适的方法.
主要方法:
- 描述一个完整的代谢学工作流程,从样本准备到下游分析.
- 对24个路径分析软件工具进行了全面的审查和评估.
- 基于软件的可用性,预处理能力,omics集成,数据库和用户友好性的软件评估.
主要成果:
- 24种功能分析方法对代谢学数据的详细比较.
- 评估软件的可访问性,文档和用户支持.
- 提供软件包装,以提高可用性.
结论:
- 该审查为选择合适的代谢学分析工具提供了指导方针.
- 在代谢学路径分析中确定了挑战和未来的研究方向.
- 促进了代谢学在疾病诊断和研究中的临床应用.
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