Par kursu

In this lecture, we will first discuss the state-of-the-art bioinformatics analyses pipelines of transcriptome data, from quality control and filtering of the raw reads, to the alignments to the reference genome and the identification of differentially expressed genes. We will mainly focus on bulk RNA-seq data, however also single-cell RNA-seq analysis will be briefly discussed as well as specific challenges, when alternative splicing or particular classes of RNAs, such as microRNAs or long non-coding RNAs need to be analyzed. Finally, we will move to another omics discipline – proteomics – and discuss the bioinformatics analyses pipelines of proteome data.