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所在平台: Udemy |
课程主页: https://www.udemy.com/course/rna-seq-analysis-by-galaxy-and-r/
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课程名称：使用R进行差异基因表达分析 课程概述： 近年来，RNA测序（简称RNA-Seq）已成为分析不断变化的细胞转录组（即一个细胞或细胞群体中所有RNA分子的集合）的广泛应用技术。RNA-Seq的一个主要目标是通过识别在两种或多种生物条件下差异表达的基因或分子通路，来进行基因表达的分析。本课程将介绍RNA-Seq的分析方法。完成本课程后，您将能够使用Galaxy和R进行生物医学数据的完整分析。本课程将教授如何通过RNA-Seq分析进行差异基因表达分析，以及如何使用R和RStudio进行生物信息学分析。课程中的代码和幻灯片将帮助您完成RNA-Seq分析，您将学习到主成分分析（PCA）、箱形图、直方图和热图等可视化工具。原始数据可在NCBI基因表达汇总（GEO）中找到，接入号为GSE52194，原始RNA-Seq读取数据已从序列读取档案（SRA）文件提取并转换为FASTQ文件。总之，本课程旨在适应所有技能水平的学习者，即使您没有编程或统计背景，也能成功完成本课程！
In recent years, RNA sequencing (in short RNA-Seq) has become a very widely used technology to analyze the continuously changing cellular transcriptome, i.e. the set of all RNA molecules in one cell or a population of cells. One of the most common aims of RNA-Seq is the profiling of gene expression by identifying genes or molecular pathways that are differentially expressed (DE) between two or more biological conditions.This course is actually introducing RNA-Seq analysis. After this course, you will be able to do a complete analysis of biomedical data by galaxy and R. In this course, you will learn analysis for differential gene expression by RNA-Seq analysis. How to use R and RStudio for Bioinformatics. Code and slides of this course will help you to do analysis of RNA-Seq analysis. You will be able to know the PCA, box plot graphs, histograms, and heat map.The original data are available at NCBI Gene Expression Omnibus (GEO) under accession number GSE52194. The raw RNA-Seq reads have been extracted from the Sequence Read Archive (SRA) files and converted into FASTQ files. In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
