Clinical Microbiology Labs

Turn your isolate bank into a genomic baseline

Genomic relatedness, antimicrobial resistance, virulence, and plasmid prediction for every organism in your collection—no bioinformatics or sequencer required.

Any organism Retrospective + prospective Report-ready outputs
Genotype — Phenotype Concordance
IsolateGeneDrugASTGenotype
ISO-041blaKPC-2MeropenemRMatch
ISO-042blaCTX-M-15CeftriaxoneRMatch
ISO-043blaNDM-5ErtapenemRMatch
ISO-044qnrB2CiprofloxacinSInducible
ISO-045ompK36↓MeropenemRNovel mech.
ISO-045: Carbapenem resistance likely via porin loss (ompK36 truncation) — no carbapenemase gene detected.
Clonal Cluster Detection
22 isolates — K. pneumoniae — 2023–2025
C1
C2
C3
C4
C5
Cluster A — 4 isolates
3 genetically distinct lineages identified. Cluster A likely represents low-level endemic transmission.
Any organism
Bacteria, mycobacteria, fungi — bring your collection
SNP-level resolution
Clonal relatedness and phylogenetic structure across your collection
AMR + plasmids
Resistance genes, mechanisms, and mobile elements
Isolates or FASTQ
Work from your bank or sequences you already have
What you get

A complete picture of your collection — and the context to understand the next isolate.

We characterize your existing collection to establish what has been circulating. Every isolate sequenced after that gets placed in that context.

Clonal relatedness & cluster detection

SNP-level phylogenetic analysis reveals which isolates share a common ancestor. Identifies endemic lineages vs. sporadic introductions across your full collection.

AMR gene inventory

Complete catalogue of resistance determinants by drug class—beta-lactamases, aminoglycoside-modifying enzymes, efflux pumps, and more—with mechanism-level annotation.

Plasmid characterization

Identifies conjugative and mobilizable plasmids carrying resistance genes, with replicon typing. Critical for understanding horizontal transfer potential within your institution.

Virulence factor profiling

Screens each isolate against curated virulence databases. Flags toxin genes, adhesins, and immune-evasion factors relevant to clinical outcome and infection severity.

Baseline library report

Structured, shareable output of all findings. Formatted for infection control, lab QA/QI review, or research use. Yours to keep and build on prospectively.

In-house sequencing
Interested in bringing WGS to your micro lab?
We can support your LDT validation—structured concordance data, mechanism-level annotation, and a report formatted for QA/QI review.
Get in touch
How it works

Retrospective first. Prospective from there.

Start by characterizing what you already have. Every isolate you add going forward deepens the baseline and sharpens your ability to distinguish endemic from emerging.

1

Send your isolates or sequences

We work with stored isolates from your bank or with FASTQs if you already have sequencing data. No specialized prep required on your end.

2

We sequence and analyze

Short-read WGS, assembly, and a full analytical pipeline—relatedness, AMR, plasmids, virulence—applied uniformly across your collection.

3

Receive your baseline report

Structured findings delivered as a report. Concordance table, phylogenetic trees, resistance gene inventory, and plasmid summary. Add epi context at any time.

4

Grow it prospectively

Every isolate added going forward is contextualized against your existing baseline. New arrivals get placed in the phylogeny automatically.

Questions this answers
What’s endemic here vs. what’s new?
Are our AST results backed by genotype?
Which resistance mechanisms and mobile elements are circulating?
Organism examples
NTM MRSA CRE C. diff VRE Acinetobacter Pseudomonas C. auris

Let’s talk about your collection

Clinical Microbiology Labs Research & Public Health Labs Hospital Infection Prevention
Schedule a Call hello@prospectgenomics.bio