探索用于分析长非编码RNA的工具和资源的景观
Monica Ballarino1, Gerardo Pepe2, Manuela Helmer-Citterich2
1Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Piazzale Aldo Moro 5, 00161 Rome, Italy.
Computational and structural biotechnology journal
|October 16, 2023
概括
本综述强调了长非编码RNA (lncRNA) 研究的计算工具. 这些生物信息学资源有助于发现lncRNA和理解它们的功能,这对于推进功能基因组学至关重要.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 越来越多地发现长非编码RNA (lncRNAs),这给功能评估带来了挑战.
- 将分子生物学与生物信息学相结合,对于lncRNA研究至关重要.
- 计算管道和资源已经大大推进了ncRNA发现和机制研究.
研究的目的:
- 为 lncRNA 研究提供最近计算资源的精心策划的集合.
- 将这些资源分类为数据库,识别/分类,交互预测和结构预测.
- 强调对lncRNA功能基因组学标准化管道和改进注释的需求.
主要方法:
- 文献审查和计算资源的策划.
- 资源的分类基于在lncRNA研究中的应用.
- 综合计算 lncRNA 分析当前趋势和未来方向.
主要成果:
- 一个针对 lncRNA 分析的最新计算资源的分类列表.
- 确定关键领域:数据库,识别,交互和结构预测.
- 突出了 lncRNA 分析工具和数据库的扩展.
结论:
- 计算工具对于推动ncRNA发现和功能研究至关重要.
- 计算管道和注释的标准化对于未来的研究至关重要.
- 生物信息学资源的持续开发将加速 lncRNAs 的功能基因组学.
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