This contents is the translated version of the article in Hyeshik Chang's facebook.
DIY Transcriptomics
https://diytranscriptomics.com/
This is a lecture on RNA expression analysis that properly provides hands-on data and scripts to follow. It includes basic RNA-seq data analysis, from sequencing, mapping, DEG analysis, and functional analysis. Also including a video.
Biostar Handbook
https://www.biostarhandbook.com/
Handbook made by Istvan, who was working hard to answer in Biostar. Slightly touching most area of bioinformatics. It’s good to learn by following because it’s mainly based on practice. Need a paid subscription.
Canadian Bioinformatics Workshop
https://bioinformaticsdotca.github.io/
It’s a long-standing workshop series. There are video materials, hands-on data, and scripts. Neatly organized explanations and materials.
Bioinformatics Algorithms (Compeau & Pevzner)
https://stepik.org/course/55789/promo
This is an interactive textbook based on the famous Coursera lecture. Can make a permanent purchase for $90. Good to learn about bioninformatic algorithm.
YouTube (Manolis Kellis, Aaron Quinlan)
https://www.youtube.com/c/ManolisKellis1/videos
https://www.youtube.com/c/AaronQuinlanCompBio/videos
Good lectures that have been updated over the years, ranging from classic to recent content. It’s good to look at the big framework when studying a specific topic.
A Primer for Computational Biology
https://open.oregonstate.education/computationalbiology/
It is a computer science book that teaches only programming, which is rare these days. Kind of programming introduction book with bioinformatics examples.
Sandbox.bio
It is a tutorial site that compiles major program such as samtools, bedtools, awk into WebAssembly and makes them available for practice in a web browser. It’s great that it comes out just ready without installing anything and provides an environment where you can type whatever you want. It’s a good recommendation for starter.
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