Φ
Phage discovery and therapy-oriented research
Rank phage candidates, identify genomic safety concerns, compare receptor-binding modules, and integrate host-range or killing data.
Applications
One microbial genomics engine. Several useful battlefields.
Different clients ask different questions. The underlying analyses overlap, but the reporting must speak the language of the biological problem.
B
Bacterial pathogen research
Characterize isolates for identity, AMR/virulence markers, plasmids, mobile elements, strain relatedness, and outbreak-style comparisons.
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Soil and agriculture
Compare healthy and affected patches, screen candidate pathogens and beneficial taxa, and monitor microbial shifts across seasons or interventions.
⚗
Breweries and fermentation
Investigate batch shifts, contamination, yeast identity questions, bacterial spoilers, off-flavour producers, and changes in fermentation microbiomes.
◌
Cheese and food microbiology
Profile starter cultures, ripening-associated microbial communities, spoilage organisms, and batch-to-batch microbiological consistency.
R
Academic and biotech research
Turn raw sequencing data into reproducible analyses, clean figures, supplementary tables, methods text, and reviewer-proof interpretations.
The rule
We do not sell barplots. We sell biological interpretation.
A farmer, a brewer, and a phage researcher should not receive the same generic microbiome report. Same sequencing universe; different decisions.