AMR surveillance dashboard: a live project

An interactive dashboard for a national AMR repository: resistance samples across regions, organisms and drug classes, and a live example of what we deliver alongside a typical engagement.

About the project

Built for an academic-public health partner tracking antimicrobial resistance across the Philippines. The dashboard surfaces sample density, reference coverage, regional contributions, and resistance patterns, all from amplicon and metagenomic data processed through our standard pipeline.

It brings together 180 genomes and metagenomes from 16 of the 17 administrative regions, with 24 resistance genes detected across six organisms and the National Capital Region as the leading contributor.

What it shows

A status line shows the collection period, the latest sample, the last data release and how many alerts are open. Below it, headline figures for genomes, carbapenem resistance, ESBL and colistin resistance each carry a small trend line and the change on the previous year.

A priority signals list ranks the resistance problems found in the data by severity, following the WHO list of priority pathogens: carbapenem-resistant A. baumannii first, then ESBL and carbapenem-resistant Enterobacterales, colistin resistance and MRSA. Each signal shows how many genomes carry it, how many regions are affected and whether it is rising.

Below the fold

Isolates are charted by year of collection with the resistant share drawn over them, so a change in resistance is visible at a glance. A heatmap shows, for each organism, the share of genomes resistant to each drug class.

A map of the 17 regions switches between sample counts and resistance rates, next to a table of regional hotspots. The latest isolates are listed with their priority markers, and selecting a region opens its own profile.

Built into your engagement

Dashboards like this are typically delivered alongside the methods report. They are how your team explores the data after we hand off, and how you share findings with stakeholders without exporting CSVs around. Light branding, internal link, no separate login required.

We design each dashboard around the questions the engagement is meant to answer, the panel mix above is one shape, but the same approach scales to wastewater monitoring, aquaculture cohorts, or longitudinal microbiome studies.

↗Wastewater AMR surveillance: methods and regulatory readiness
↗Shotgun metagenomics service detail
↗Talk to us
About the project
What it shows
Below the fold
Built into your engagement

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Sequencing depth for microbiome studies: a tropical and SE Asia practical guide

How deep should you sequence each sample? The answer is sample-type dependent, and tropical and Southeast Asian samples typically need more depth than the canonical temperate references suggest. A practical guide with specific anchors for gut, soil, water, aquaculture, and fungal ITS work.

Tell us what you are working on.

A short note about your samples and questions is enough to start. We reply with how we would approach it.