Knowledge Map

A structured map of bioinformatics, omics, computation, and statistics.

This is the durable part of the site: topics are organized by concept rather than publication date. Each page will evolve from an outline into a practical reference with explanations, examples, and reproducible code.

Area	Scope
Bioinformatics	Software, algorithms, workflows, databases
Biology	General biology background
Omics data analysis	Genome, transcriptome, epigenome, multiome, spatial and molecular profiling
Machine learning	Foundations, classical ML, and deep learning
Statistics	Probability, inference, mixture models, and modelling
Linux	Commands, administration, environments, and networking
Python & R	Programming, tooling, visualization, and reproducible analysis

Note

Pages labelled Planned are intentional placeholders in the learning roadmap, not missing links.