Master’s-level laboratories blending classical bioinformatics with modern ML, networks, and GenAI. The environment is CPU‑only and identical across Codespaces and Docker via the prebuilt image
ghcr.io/bozdogalex/bdhb:base.
- 01 — Databases & GitHub: labs/01_intro&databases
- 02 — Sequence Alignment: labs/02_alignment
- 03 — NGS: labs/03_formats&NGS
- 04 — Phylogenetics: labs/04_phylogenetics
- 05 — Clustering: labs/05_clustering
- 07— WGCNA + Diseasome: labs/06_wgcna
- 08 — Network Viz & GNN: labs/07_network_viz
- 09 — Federated Learning: labs/08_ML_flower
- 10 — Drug Repurposing: labs/09_repurposing
- 11 — Integrative + Digital Twin: labs/10_integrative
- 12 — Multi‑omics + Quantum : labs/11_multiomics
- 13 — Generative AI : labs/12_genAI
- Presentations
Full onboarding (screenshots, tips): Onboarding
labs/— all weekly lab contentdocs/— onboarding, ANIS pack (before/after, one‑pagers, screenshots)mlops/— MLflow helpers.devcontainer/— Codespaces/Devcontainer (pulls GHCR image).github/workflows/— CI + image publishDockerfile,requirements.txt— env definitiondev.ps1,Makefile— local helpers
Supporting material and submission pack live under docs/:
- Onboarding — Codespaces & Docker setup, smoke test, troubleshooting
- Before/After — ANIS submission improvement pack
- One-pagers — PDF summaries of labs
- Screenshots — environment/UI captures (MLflow, Codespaces, Argo)
- Changelog — changes across versions
- Policies — third-party license references, repository policies
- Resources — recommended readings/tutorials
CONTRIBUTING.md— contribution rules & PR tipsCITATION.cff— how to cite this workdocs/changelog.md— changelog (linked from releases)