Unlock Microbial Insights with Advanced Metagenomics Sequencing Analysis

Metagenomics is a powerful genomic analysis technique that sequences genetic material directly from environmental or clinical samples. Unlike traditional methods, it allows for comprehensive identification and characterization of all microorganisms—bacteria, viruses, fungi, and parasites—present in a sample, without the need for culturing. This test offers unmatched insights into microbial ecosystems in the human body or specific environments, supporting disease diagnosis, monitoring, and personalized treatment strategies.

Conditions Detected by Metagenomics

Health and Wellness Solutions

Uncover Hidden Microbial Landscapes

Unbiased Detection

Identify all pathogens—known or unknown—without relying on targeted assumptions.

Rapid Diagnosis

Shorten time-to-diagnosis for critical infections and unknown conditions.

Precision Treatment

Supports targeted antimicrobial therapy by identifying exact pathogens and resistance genes.

Multi-System Utility

Applicable to samples from gut, lungs, blood, skin, and more.

How It Works

Fast-Track Microbial Profiling in 3 Steps

Why Choose FSG for Metagenomics

Frequently Asked
Questions!

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What is metagenomics testing?

Metagenomics testing is a cutting-edge method that analyzes genetic material from all microorganisms present in a sample, helping identify bacteria, viruses, fungi, and parasites without the need for culturing.

It is especially useful for detecting infections that are hard to diagnose using traditional methods, such as rare or resistant pathogens, polymicrobial infections, and unexplained fevers.

Samples can vary depending on the suspected infection site—these may include blood, stool, saliva, urine, or tissue. Your healthcare provider will determine the appropriate sample type.

Metagenomics offers high sensitivity and accuracy, allowing for the identification of even minute amounts of microbial DNA or RNA in complex samples.

Results typically take between 5–10 working days, depending on the sample type and complexity of the microbial population detected.

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