从差异表达基因中解锁生物学见解:概念,方法和未来的观点
Huachun Yin1, Hongrui Duo2, Song Li3
1College of Life Sciences, Chongqing Normal University, Chongqing 401331, PR China; Department of Neurosurgery, Xinqiao Hospital, The Army Medical University, Chongqing 400037, PR China; Department of Neurobiology, Chongqing Key Laboratory of Neurobiology, The Army Medical University, Chongqing 400038, PR China.
Journal of advanced research
|December 8, 2024
概括
本综述为解释差异表达基因 (DEG) 清单提供了指导,有助于生物发现. 它介绍了DEGMiner,这是一个加速从基因组数据中获得洞察力的工具.
科学领域:
- 对转录组进行分析.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 识别差异表达基因 (DEGs) 对于理解生物过程至关重要.
- 解释大型DEG列表具有挑战性,尽管存在诸如基因本体学和通路丰富等方法.
- 缺乏对DEG解释的全面指导方针.
研究的目的:
- 提供对DEGs生物解释的概念和方法的概述.
- 为了解决DEG分析方法的局限性和未来前景.
- 推出DEGMiner,一个整合300多个数据库和DEG分析工具的工具.
主要方法:
- 审查现有和新兴的DEG解释策略.
- 在DEGMiner中开发和整合数据库和工具.
- 专注于提高对DEGs的上下文理解.
主要成果:
- 确定用于DEG解释的基本概念和方法.
- 突出了该领域的局限性和未来方向.
- 开发DEGMiner以促进DEG数据挖掘.
结论:
- 本综述为探索DEG提供了指导,以加速生物发现.
- DEGMiner 帮助用户从广泛的 DEG 数据集中提取见解.
- 这些发现支持在基因组内系统地挖掘生物信息.
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