Opinion
A unified and practical taxonomy for false discovery rate control in omics research
Nature · By Thomas Burger ·
The Brief
- A Comment in Nature Biotechnology proposes a 2 × 2 matrix to organise false discovery rate (FDR) control procedures used in omics research.
- The authors note that the diverse FDR procedures in use rely on different assumptions.
- The Comment was published online on 13 November 2026 (doi:10.1038/s41587-026-03379-8).
Why it matters
A shared taxonomy can help omics researchers match an FDR procedure to the assumptions that hold for their data, which bears on how reliable reported discoveries are.
Who’s affected
- omics researchers
- biostatisticians analysing high-throughput biological data
- #false discovery rate
- #omics
- #statistics
- #multiple testing
- #bioinformatics
Nature Biotechnology, Published online: 13 November 2026; doi:10.1038/s41587-026-03379-8 False discovery rate (FDR) control is central to omics research, yet the diverse procedures used rely on different assumptions. This Comment proposes a 2 × 2 matrix that helps…
Timeline
Comment published online in Nature Biotechnology proposing a 2 × 2 taxonomy for FDR control in omics
nature.com
A unified and practical taxonomy for false discovery rate control in omics research