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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/researchers-guide-to-rna-sequencing-data
课程评论：没有评论
课程名称：研究者的RNA测序数据指南 概述：本课程是“选择基因组工具”的后续课程，深入探讨RNA信息学方法！ 本课程面向以下人员： - 已参加“组学数据基础研究者指南”课程 - 拥有RNA数据却不知道如何处理的人 - 想要对其RNA数据类型进行基本概述的人 - 希望寻找处理和解释RNA数据的资源的人 课程内容： - RNA方法的基本原理 - 可能考虑的资源 课程大纲： 1. **引言**：在本模块中，我们介绍了本课程的目标，并概述了可用的RNA方法（即基因表达）。 2. **大规模RNA-seq**：本模块深入探讨大规模RNA-seq方法，以评估组织的基因表达。 3. **单细胞RNA-seq**：本模块深入探讨单细胞RNA-seq方法，以评估单个细胞的基因表达。 4. **空间转录组学**：本模块探讨带有空间信息的组织基因表达。 5. **总结**：在课程结束时，我们简要介绍基因表达微阵列，并进行最终的课程知识检查。 此课程为希望理解和处理RNA数据的研究人员提供了基础和资源。
Name:Introduction
Description:In this first module we introduce the goals of this course an do an overview of the available methods for RNA methods, otherwise known as gene expression.
Name:Bulk RNA-seq
Description:In this module we dive into Bulk RNA-seq methods for evaluating gene expression of tissue.
Name:Single Cell RNA-seq
Description:In this module we dive into single cell RNA-seq methods for evaluating gene expression of single cells.
Name:Spatial Transcriptomics
Description:In this module we dive into gene expression of tissue but with spatial information.
Name:Wrapping Up
Description:To wrap up this course, we have a quick section about gene expression microarrays before we wrap up the course with a final course knowledge check.
This course is a follow up course to "Choosing genomics tools" which dives into further detail about RNA informatics methods! This course is for individuals who: - Have taken Researcher's Guide to Fundamentals of Omic Data - Have RNA data and don’t know what to do with it. - Want a basic overview of their RNA focused data type. - Want to find resources for processing and interpreting RNA data What this course will cover: - Fundamentals of RNA methods. - Resources you may consider looking
