Learning hub
Resources
Everything BORA teaches with is free and openly licensed. If a resource costs money, it does not belong on this page.
Curated links, hosted nowhere. BORA does not re-host copyrighted
material. We point to the original sources and add our own Markdown walkthroughs and
Colab notebooks on GitHub.
Stage 0 — Foundations
- GitVersion control, branching, and pull requests — the minimum needed to collaborate on an analysis.
- PythonSyntax, pandas, plotting. Enough to clean a dataset and produce a figure.
- Rtidyverse, ggplot2, and basic statistical testing.
- ShellNavigating a filesystem, piping, and running command-line bioinformatics tools.
- EthicsResearch integrity, authorship norms, data privacy, plagiarism.
Public data sources
- NCBISequence Read Archive, GenBank, BioProject, BioSample.
- ENAEuropean Nucleotide Archive — mirrors and complements NCBI.
- OpenAlexOpen bibliographic graph for literature mining and bibliometrics.
- GISAIDViral genomic surveillance data (registration required, free).
- WHO/FAODisease burden, surveillance, and livestock statistics.
- BBSBangladesh Bureau of Statistics — national production and demographic data.
Analysis toolchain
- ColabFree notebook compute for tutorials and light analysis.
- CondaReproducible environments for bioinformatics tooling.
- NextflowPipeline orchestration for multi-step genomic workflows.
- NextcladeClade assignment and quality control for viral genomes.
- QuartoReproducible reports that mix code, output, and prose.
Writing & publishing
- StructureIMRaD, how to write a methods section someone can actually re-run.
- ReportingSTROBE, PRISMA, ARRIVE — which checklist applies to which design.
- RefsZotero for reference management; Vancouver and APA styles.
- PreprintHow to post to a preprint server and why to do it early.
- JournalsChoosing a legitimate open-access venue and spotting predatory ones.
How the hub is built
Versioned, forkable, alumni-maintained
01
Markdown on GitHub
All learning content lives as versioned Markdown in a public repository. Anyone can read the history, fork it, or open a pull request.
02
Notebooks for practice
Each module ships with a Colab notebook so students run real code without installing anything or paying for compute.
03
Alumni keep it current
Stage 5 mentors are expected to fix and extend the modules they were taught with. The curriculum improves with every cohort.
Predatory-journal warning. Students are taught to check a venue against
DOAJ, COPE membership, and indexing before submitting anything. Paying to publish fast is
the single most common way early-career researchers waste money and credibility.