Bioinformatics — discovery and annotation
Knowledge-based computational biology. Biologically meaningful features and annotations.
The primary finding as measured, before interpretation.
The biologically relevant signal, resolved from experimental noise.
Its biological function and mechanism, with the supporting evidence attached.
The hypothesis it supports, and the confidence with which it can be acted on.
Computation narrows the search; biological knowledge decides what is worth pursuing. Candidates are prioritised against what is established about the organism, the pathway and the disease phenotype, not against a significance threshold alone. The result is a testable shortlist, ready for experimental validation.
An annotation is only useful if it is biologically meaningful. Features are characterised in terms that inform the next experiment — molecular function, mechanism of action, and the level of evidence behind each call — and the supporting evidence stays attached to the result rather than being summarised away.
Therapeutic and diagnostic focus
Diagnostics · drug resistance · immune evasion