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所在平台: Udemy |
课程主页: https://www.udemy.com/course/a-practical-quick-guide-to-rna-sequencing-no-code-required/
课程评论：没有评论
## 生物信息学：无代码RNA测序指南 本课程旨在面向对下一代测序技术（特别是RNA测序）感兴趣的初学者，教授如何在没有编码经验的情况下，利用免费的Galaxy平台和STAR流程进行RNA测序分析。 **课程亮点：** * **无需编码：** 全程使用基于浏览器的Galaxy工具，避免复杂的软件安装和Linux系统需求。 * **业界领先工具：** 采用STAR流程进行基因组比对（ENCODE项目支持），FeatureCounts进行计数，以及DESeq2进行差异表达分析（也可选DEGUST）。 * **实践导向：** 从下载公共数据到基因组比对、计数、差异表达分析、基因本体富集及通路可视化（KEGG图）的完整流程，共14个实践环节。 * **解决实际问题：** 课程将展示如何应对Galaxy平台的一些限制，并鼓励学员发挥创造力。 * **应用广泛：** 了解RNA测序在癌症标记物发现、遗传病研究以及基因在细胞生长中的作用等方面的应用。 **学习目标：** * 下载公开可用的RNA-seq数据。 * 完成基因组比对（使用STAR）。 * 生成计数表（使用FeatureCounts）。 * 进行差异表达分析，找出不同生长阶段的细胞之间的基因表达差异（使用DESeq2或DEGUST）。 * 进行基因本体分析，理解通路的上调和下调情况。 * 创建KEGG通路图（使用Pathview），深入探究特定通路。 本课程适合任何对基因组学和生物医学研究突破性技术感兴趣的个人，特别是RNA测序领域的初学者，将助力您完成一个完整的RNA-seq分析流程。
Ever wonder which technologies allow researchers to discover new markers of cancer or to get a greater understanding of genetic diseases? Or even just what genes are important for cellular growth? This is usually carried out using an application of Next Generation Sequencing Technology called RNA sequencing. Throughout this course, you will be equipped with the tools and knowledge to not only understand but perform RNA sequencing and discover how the transcriptome of a cell changes throughout its growth cycle. To avoid the need for complex software installations, coding experience and in some cases a Linux operating system we will be using a free bioinformatics tool called Galaxy for the whole analysis! Not only that, but we will also be using the STAR pipeline which is currently supported by the ENCODE project!Once you've completed this course you will know how to:Download publically available data from papers straight onto Galaxy.Obtain the needed raw files for genome alignment. Perform genome alignment using a tool called STAR.Create count tables from your alignment using FeatureCounts.Carry out a differential expression using DESeq2 to find out what changes between a cell on day 4 Vs day 7 of growth. Carry out gene ontology analysis to understand what pathways are up and down-regulated. Use Pathview to create annotated KEGG maps that can be used to look at specific pathways in more detail.Use a web browser-based tool called DEGUST as an alternative to using DESeq2.Practical BasedThe course has one initial lecture explaining some of the basics of sequencing and what RNA sequencing can be used for. Then it's straight into the practical! Throughout the 14 lectures, you are guided step by step through the process from downloading the data to how you could potentially interpret the data at the final stages. Unlike most courses, the process is not simplistic. The project has real-world issues, such as dealing with galaxies limitations and how you can get around them with some initiative! This course is made for anyone that has an interest in Next-Generation Sequencing and the technologies currently being used to make breakthroughs in genetic and medical research! The course is also meant for beginners in RNA-seq to learn the general process and complete a full walkthrough that is applicable to there own data!
