Following on this thread I've created a Udemy course entitled Differential Gene Expression Analysis - Your Complete A to Z. You can enrol for FREE (applies 100% discount) here:
In this course we'll learn together one of the most popular sub-specialities in bioinformatics: differential gene expression analysis. By the end of this course you'll be able to undertake both RNAseq and qPCR based differential gene expression analysis, independently and by yourself, in R programming language. The RNAseq section of the course is the most comprehensive and includes everything you need to have the skills required to take FASTQ library of next-generation sequencing reads and end up with complete differential expression analysis. Although the course focuses on R as a biological analysis environment of choice, you'll also have the opportunity not only to learn about UNIX terminal based TUXEDO pipeline, but also online tools. Moreover you'll become well grounded in the statistical and modelling methods so you can explain and use them effectively to address bioinformatic differential gene expression analysis problems. The course has been made such that you can get a blend of hands-on analysis and experimental design experience - the practical side will allow you to do your analysis, while theoretical side will help you face unexpected problems.
The course is ideal for:
-STEM graduates who don't have a sufficient grasp of molecular biology and want to start a career in bioinformatics
-Anybody who needs a refresher in biological foundations of bioinformatics and differential gene expression analysis
-Students who want to start a higher degree (MSc or PhD) project related to bioinformatics
-People working at pharmaceutical companies or at university and who want to learn about differential gene expression analysis
-Curious learners that want to gauge bioinformatics and differential gene expression analysis
Any feedback/review on the platform will be appreciated as it'll help me improve student experience.