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Updated: Jun 25, 2025

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RNA-Seq数据分析:模型和非模型生物的实用指南

Enrique Pola-Sánchez¹, Karen Magdalena Hernández-Martínez², Rafael Pérez-Estrada³

¹Laboratorio Nacional de Genómica para la Biodiversidad-Unidad de Genómica Avanzada, Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV), Unidad Irapuato, Irapuato, México.

Current protocols

|May 29, 2024

概括

本指南为研究人员和学生提供一步一步的RNA测序 (RNA-seq) 数据分析工作流. 它涵盖从原始读取到功能洞察的基因表达分析,适用于任何生物体.

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.

背景情况:

RNA测序 (RNA-seq) 是全基因组基因表达分析的重要工具.
对那些没有生物信息学专业知识的人来说,分析大型RNA-seq数据集带来了重大挑战.

研究的目的:

为RNA-seq数据分析提供一个全面的,逐步指南.
帮助学生和研究人员分析来自任何有机体的基因表达数据,有或没有参考基因组.

主要方法:

该指南详细介绍了从原始读取处理到功能丰富分析的工作流程.
它使用了公认的生物信息学工具,讨论了它们的利弊.
包括对具有参考基因组的模型生物的协议和对非模型生物的 de novo 组装.

主要成果:

介绍了一种用于RNA-seq数据分析的实用和可重复的协议.
该指南有助于从复杂的数据集中提取有价值的生物见解.
所有必要的脚本和样本数据集都通过GitHub提供.

结论:

本指南使用户能够自信地进行RNA-seq数据分析.
它民主化了对先进的基因表达分析技术的访问.
通过可访问的生物信息工作流来增强生物发现.

关键词:

在RNA-seqq.组装的组装组装的组装.不同的表达方式,不同的表达方式.非模范植物的非模范植物策划策划策划策划可复制性的可复制性

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