Services
Turn microbial community data into interpretable results
Microbiome analysis requires careful consideration of study design, sequencing method, controls, sample metadata, and statistical assumptions. We help you choose an approach that fits the biological question and the data you actually have.
What this service covers
- Amplicon (16S/ITS) and shotgun metagenomics workflows.
- Taxonomic profiling and relative abundance.
- Alpha and beta diversity analysis.
- Community comparisons and ordination.
- Differential abundance testing where the design supports it.
- Functional and pathway analysis where the data permits.
- Composition figures, tables, method summaries, and interpretation.
Scientific limitation
Microbiome results depend heavily on study design, sequencing method, controls, sample metadata, and statistical assumptions. Associations should not be read as causation, and low-biomass or poorly controlled studies carry real interpretation risk.
Have a microbiome dataset?
Share the design, the target region or sequencing method, and the comparison you are interested in. We will review whether the data can answer the question.