Introduction
Bioinformatics
1. bioconda
2. bioconductor
Coding tools
Command line
Data analyses
1. differential expression analysis
Data downloads / reanalysis
1. SRA, ENA, NCBI, Ensembl
2. TCGA, TARGET, GTEx
Data formats and tools
Data presentation
Programming Languages
1. python
2. R
3. Rust
Reference data
1. liftover between references
Statistics
1. bayesian statistics (priors, likelihoods and posterior distributions)
2. frequentist statistics (hypothesis tests, p-values, etc.)
Workflow management
1. Snakemake
Working on servers

A collection of resources for data scientists (not only) in bioinformatics

Data visualization

If you are interested in a conceptual framework for data visualizations, read up on the grammar of graphics. Otherwise, jump right into one of the topics covered here.