Bioinformatics training materials
Quick start:
Overview: End‑to‑end RNA‑Seq workflow training covering raw FASTQ processing, QC, mapping, quantification, and differential expression.
Tools included:
- Nextflow + nf-core/rnaseq Or
- Snakemake custom script
- FastQC, MultiQC
- STAR or HISAT2
- featureCounts
- DESeq2, clusterProfiler for GO/KO
Results generated:
- QC reports
- Aligned BAM files
- Count matrices
- Differential expression tables
- Functional enrichment plots
Training material: Genomic Prediction Workshop
Overview: Hands‑on introduction to variant processing, GWAS pipelines, mixed models, and genomic prediction techniques.
Tools included:
- PLINK for SNP QC
- GEMMA / MLMM for GWAS
- R packages: rrBLUP, BGLR, sommer
Results generated:
- Filtered genotype sets
- Manhattan/QQ plots
- GWAS hit tables
- Genomic Estimated Breeding Values (GEBVs)
Training material: Data Visualization in R
Overview: Training on efficient data wrangling, multi‑table merging, and reproducible, publication-grade figure creation in R.
Tools included:
- tidyverse: dplyr, tidyr, readr
- ggplot2 + patchwork
- rmarkdown
- GitHub for versioning
Results generated:
- Tidy & merged data structures
- Statistical graphics
- Multi-panel figures
- Reproducible reports
Training material: Metagenomics & Multi‑omics Training
Overview: End‑to‑end training covering metagenomic assembly, binning, taxonomy, and functional annotation.
Tools included:
- nf-core/mag
- Kraken2 + Bracken
- MetaBAT2, MaxBin
- Prokka, eggNOG-mapper
Results generated:
- Taxonomic profiles
- MAGs (assembled genomes)
- Functional annotation reports
- Pathway reconstructions
Training material: Reproducible Bioinformatics Workshop
Overview: A fully hands‑on introduction to reproducible bioinformatics workflows using containers, CI, and modern pipeline design.
Tools included:
- Nextflow scripting
- nf-core template + modules
- Docker, Apptainer
- GitHub Actions for CI
Results generated:
- Reusable Nextflow pipelines
- Containerized reproducible environments
- Automated CI testing
- Releases with version tracking
Training material: MedBioInfo Training Modules
Overview: Modules covering biomedical data analysis, clinical genomics, multi‑omics, and statistical learning.
Tools included:
- R/Bioconductor workchains
- Bash automation
- Variant calling & annotation tools
- Machine‑learning packages
Results generated:
- Clinical variant tables
- DGE and expression matrices
- Prediction model outputs
- Exploratory and diagnostic plots
Overview: This is a curated and actively maintained collection of bioinformatics training materials compiled by the Swiss Institute of Bioinformatics (SIB) and integrated into glittr.org.
All resources in this collection are:
- Free and openly accessible
- Hosted on GitHub or GitLab
- Written in Markdown or similar formats
- Cover a wide range of bioinformatics topics
Live README (auto-updated):
[def]: ttps://abu85.github.io/Pixi-in-bioinformatics/modules/nextflow_rnaseq_analysis.htm [def2]: ttps://abu85.github.io/nfcore_metagenomics_training