细胞Craft:一个可扩展的视觉编程应用程序,用于基因调节网络推断
Dongmin Shin1, Jeonghwan Henry Kim2, Rakbin Sung1
1Department of Applied Art and Technology, College of Art and Technology, Chung-Ang University, Anseong 17546, Republic of Korea.
Bioinformatics (Oxford, England)
|December 26, 2025
概括
细胞Craft简化了基因调控网络 (GRN) 从单细胞RNA测序 (scRNA-seq) 数据的推断. 这款用户友好的Web应用程序集成了多种工具,并为复杂的分析提供视觉编程界面.
科学领域:
- 计算生物学是一种计算生物学.
- 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:
- 从单细胞RNA测序 (scRNA-seq) 数据中重建基因调控网络 (GRNs) 对于理解细胞动态至关重要.
- 现有的GRN推断工作流通常是复杂的,需要专门的专业知识.
研究的目的:
- 介绍CellCraft,一个新的基于Web的应用程序,旨在简化从scRNA-seq数据的GRN推断.
- 为整合性GRN分析提供一个用户友好和可扩展的平台.
主要方法:
- 细胞Craft集成了多个GRN重建工具,包括TENET.
- 它具有直观的图形用户界面 (GUI) 和视觉编程界面.
- 一个模块化插件架构允许扩展性和新算法的整合.
主要成果:
- 细胞Craft简化了GRN推理复杂的多步分析的设计和执行.
- 它提高了对复杂的计算实验的可访问性.
- 简化了GRN分析结果的可视化和解释.
结论:
- 细胞Craft提供了一个用户友好和可扩展的解决方案,用于scRNA-seq数据集的GRN分析.
- 它使复杂的计算生物学工作流程民主化.
- 帮助我们更好地理解分子层面的细胞动力学.
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