Microbiology
Organism behavior, resistance mechanisms, and clinical significance across bacterial, viral, fungal, and emerging threats.
Deep understanding of pathogen biology, resistance mechanisms, clinical significance, bioinformatics, epidemiology, and software systems.

Deep understanding of pathogen biology, resistance mechanisms, clinical significance, bioinformatics, epidemiology, and software systems.
Organism behavior, resistance mechanisms, and clinical significance across bacterial, viral, fungal, and emerging threats.
Expert-built pipelines that process, analyze, and interpret genomic sequencing data at scale.
Outbreak investigation, cluster analysis, and surveillance design that connect genomic data to real-world decisions.
Isolate sequencing, targeted metagenomics, and full metagenomics for clinical, food, and environmental samples.
Science support is most useful when the question is biological, epidemiologic, or interpretive rather than purely technical.
When a result needs to stand up to quality expectations, pathogen context, and downstream reporting.
When genomic relatedness needs to be translated into plausible clusters, transmission hypotheses, or surveillance signals.
When organism identity, resistance, virulence, or source attribution changes the decision in front of the team.
Science applications emphasize organism biology, interpretation, and the epidemiologic meaning of genomic relationships.
| Question | How Theiagen supports it |
|---|---|
| What organism are we dealing with? | Species confirmation, lineage assignment, virulence signals, and resistance context |
| Are these cases connected? | Genetic relatedness, cluster boundaries, and transmission hypotheses |
| What resistance or risk signals matter? | Resistance marker interpretation across bacterial and fungal pathogens |
| What can we learn without a clean isolate? | Clinical, environmental, food, and water metagenomics where culture-independent insight is needed |
| Can we defend this method and interpretation? | Method selection, result review, and pathogen-specific scientific interpretation |
Whole-genome sequencing can distinguish related strains, characterize resistance and virulence markers, and add resolution to surveillance and outbreak investigations when results are interpreted in their pathogen and epidemiologic context.
Targeted or full metagenomics can be useful when a clean isolate is unavailable or when teams need to examine pathogens, resistance genes, or microbial communities within complex clinical, food, or environmental samples.
Microbiology provides the organism-level context needed to interpret resistance mechanisms, virulence signals, species identity, and the practical significance of genomic findings.
Yes. Theiagen supports pathogen-genomics questions across bacterial, viral, and fungal infections, including surveillance, transmission investigation, resistance monitoring, and characterization.
Genomic relationships can help define clusters, test transmission hypotheses, and connect laboratory findings to epidemiologic evidence. Results are most useful when paired with sound methods and the surrounding public-health context.
Tell us where your program is now and what pathogen challenge needs a clearer answer.