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

Languages

In this section, we'll gather useful resources for different programming languages. Each subsection starts out with learning resources to get you started.