mcjmigdal/RNA-seq_data_analysis_course_for_biologists_may_2018

The goal of the course is to introduce basic RNA-seq data analysis, starting from experiment design and raw files to functional data analysis that can be performed using PC only. In brief, the content of the course will cover: general knowledge on RNA-seq library preparation (which kit/technology should I use and why? how many replicates? how deep should I sequence my samples?), quality check and filtering of the reads (including adapter trimming, rRNA removal), read alignment/quasi-mapping (can I perform read mapping on my PC without losing its specificity and efficacy?), performing gene counts (assigning reads to provided gene annotation), data normalization (which normalization types should I apply to my data?), differential expression data analysis, basic data visualization, functional analysis (GO terms, pathway analysis).

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