Master Hands-On AI Tools for Modern Bioinformatics Research in 4 weeks through hands-on, project-based online training with DSTC.
Bioinformatics & Computational Biology
Module-by-module breakdown of Hands-On AI Tools for Modern Bioinformatics Research, from foundations to a certified capstone project.
Environment
โข Conda environments, containers and reproducible tool installation
โข Command-line fluency for sequence and tabular data manipulation
โข Workflow managers: Nextflow or Snakemake for pipelines that rerun
Structure
โข Running AlphaFold or ColabFold and reading pLDDT and PAE correctly
โข Structure visualisation and comparison workflows
โข Knowing when a predicted structure is not fit for the intended use
Sequence
โข Protein language model embeddings and practical downstream uses
โข Variant effect estimation from sequence models
โข Compute and memory realities of running these tools on modest hardware
Assistants
โข Code generation for analysis scripts, with verification discipline
โข Literature triage and the fabricated-citation problem
โข Documenting AI assistance for transparency in publication
Practice
โข Project structure, data versioning and provenance capture
โข Benchmarking a tool against a known answer before trusting it
โข Sharing an analysis so reviewers and collaborators can rerun it
e-Certificate and e-Marksheet issued on successful completion.