Our Technology

Precision microbiome insights for families

Tiny Health is the most comprehensive and accessible at-home gut and vaginal microbiome test for families. We help you make informed decisions with the power of deep shotgun metagenomic sequencing.
Our Technology

How do we look at the microbiome?

Tiny Health Tests & Graphs

Highest resolution analysis

Tiny Health uses shotgun metagenomics, the gold standard in microbiome research. You get a comprehensive list of all types of microbes found in your gut or vaginal sample, with strain-level precision for key species [1].

Our tests identify over 120,000 bacteria, viruses, fungi, and protozoan parasites—down to a 0.05% relative abundance.

Breakthrough insights

Through functional profiling, we can tell you which microbial genes are present and their abundance levels. This gives us an idea of what the microbes are actually doing.

Our reference ranges and metrics are based on published research and our rapidly growing database of microbiome samples. We have the largest repository of longitudinal pregnancy and baby microbiome samples in the world—helping us advance the science of microbiome health in early life.

Tiny Health Tests & Graphs
Tiny Health Tests & Graphs

Targeted suggestions

Our focus is on prevention, gut health development in the first 1000 days of life, and getting to the root cause of health conditions. We provide actionable advice tailored to your age and unique test results.

No other company delivers our strain-level identification and precision science through at-home tests for the whole family.

Unbiased recommendations

We recommend evidence-based supplements in the market and empower you to pick your own supplements based on the specific strains that may support your specific gut, because we do not believe in a one-size-fits all approach to supplements.

Tiny Health Tests & Graphs

How does our tech compare?

Tiny Health vs. 16s tests

Outdated 16s amplicon (16s) sequencing offers a low resolution view of the microbiome, with a high rate of false positives.

Show more

Tiny Health

16s sequencing

(Snapi, Ombre)
Results turnaround
3-4 weeks
2-3 weeks
Price
$249
$99-$129
Resolution & detail
High - Strain level resolution
Low - Family or genus level
Kinds of microbes
Extensive - All bacteria, viruses, fungi, parasites (120,000+)
Limited - Bacteria only (<10,000)
Accuracy
High - Limited contamination & false positives
Low - High potential for contamination & false positives
% of genome considered
Extensive - Looks at thousands of genes across the entire genome
Low - Looks at only one gene in a section of the genome
Future biomarker and therapeutic insights
High
Low
Tailored to mom & baby reference ranges
Strain reporting
Antibiotics resistance
Pathogen and toxin recognition
Metabolic function
Microbial capacity
Evidence-based recommendations
Basic
Require practitioner requisition to order
Not required
Required
Expert 1-1 consult call with microbiome expert

Tiny Health vs. qPCR tests

Quantitative polymerase chain reaction (qPCR or PCR) tests are highly specific. But being too specific leads to missing the bigger and more important picture—your overall microbiome health.

Show more

Tiny Health

qPCR Tests

(GI Map, GI Effects)
Results turnaround
3-4 weeks
1-2 weeks
Price
$249
$400
Resolution & detail
High - Strain level resolution
Limited - Species level, limited to report metrics
Kinds of microbes
Extensive - All bacteria, viruses, fungi, parasites (120,000+)
Very limited - Limited to probed microbes only (30-80)
Accuracy
High - Limited contamination & false positives
High - Highly accurate but not comprehensive
% of genome considered
Extensive - Looks at thousands of genes across the entire genome
Limited - Looks at multiple genes but not all
Future therapeutic insights
High
Low
Tailored to mom & baby reference ranges
Strain reporting
Antibiotics resistance
Pathogens recognition
Metabolic function
Microbial capacity
Exact capacity
Evidence-based recommendations
Expert 1-1 consult call with microbiome expert

Tiny Health vs. mRNA/RNA tests

By analyzing your microbial DNA, we provide you with evidence-based diet, supplement, and lifestyle recommendations. Other tests rely on mRNA (or RNA) which degrades quickly and is easily influenced by factors like time of day and the last thing you ate.

Show more

Tiny Health

RNA testing

(Viome)
Results turnaround
3-4 weeks
3-5 weeks
Price
$249
$279
Resolution & detail
High - Strain level resolution
Medium - Species level, no reference ranges
Kinds of microbes
Extensive - All bacteria, viruses, fungi, parasites (120,000+)
Basic - All bacteria, viruses, fungi
Accuracy
High - Limited contamination & false positives
High - But highly variable based on sample timing
% of genome considered
Extensive - Looks at thousands of genes across the entire genome
Limited - Uses incomplete genomes
Future therapeutic insights
High
Medium
Tailored to mom & baby reference ranges
Strain reporting
Antibiotics resistance
Pathogens recognition
Metabolic function
Microbial capacity
Evidence-based recommendations
Expert 1-1 consult call with microbiome expert

Tiny Health vs. other metagenomics companies

We’re not the only company to use shotgun metagenomics. But no other company offers deep, strain-level detail paired with Tiny Health’s extensive database. And we aren’t trying to sell you our own branded supplements.

Show more

Tiny Health

Metagenomics

(Floré, Thorne)
Results turnaround
3-4 weeks
3-5 weeks
Price
$249
$299
Resolution & detail
High - Strain level resolution
Medium - Species level, no reference ranges
Kinds of microbes
Extensive - All bacteria, viruses, fungi, parasites (120,000+)
Basic - All bacteria, viruses, fungi, parasites (23,000+)
Accuracy
High - Limited contamination & false positives
High - Limited contamination & false positives
% of genome considered
Extensive - Looks at thousands of genes across the entire genome
Extensive - Looks at thousands of genes across the entire genome
Future therapeutic insights
High
Medium
Tailored to mom & baby reference ranges
Strain reporting
Antibiotics resistance
Pathogens recognition
Metabolic function
Microbial capacity
Evidence-based recommendations
Only in-house probiotics
Expert 1-1 consult call with microbiome expert

Compare microbiome technologies side-by-side

See how our microbiome technology stacks up next to the competition. This chart is best viewed in desktop format.

Full comparison chart

Explore the metrics in our reports

Here are some of the extensive microbiome categories and metrics you’ll find in a Tiny Health report. This list is best viewed in desktop format.

Tiny Health Tests & Graphs
Look inside!

Get access to our Microbiome Technology slide deck

Request access

Feel confident in your next steps toward better health

Tiny Health’s tests bring the most comprehensive microbiome sequencing technology within reach. We support your family’s health journey from before pregnancy through infancy, childhood, and adulthood.

All Tiny Health tests are processed in a CLIA-certified and CAP-certified lab, assuring the highest quality standards.

Tiny Health Tests & Graphs

Frequently asked questions

Metagenomics is the study of genetic material from all organisms in a sample by a method called sequencing. Through metagenomic sequencing, Tiny Health uses the nucleic acids in microbial DNA to identify all microbes present in the sample, and in what proportions. This is often referred to as shotgun metagenomics. 

The greatest benefit to shotgun sequencing is that it is an unbiased hypothesis-free method [1]. Tests in traditional healthcare settings or from other microbiome companies typically limit their reports to specific species or strains. With Tiny Health, you get the complete picture of your gut or vaginal microbiome and a holistic plan to improve your microbiome health.

Once you receive your Tiny Health test, you may take your sample, activate your Kit ID on your Tiny Health account, and complete your intake surveys.  You will then mail your sample to our CLIA certified lab, where it will be processed using shotgun metagenomic sequencing technology. 

At the lab the microbial DNA is first extracted from your sample, and then it is run through the sequencer which spits out raw data files called fastQ files. This stage typically takes between 2-3 weeks, because the samples are processed in large batches. 

After sequencing, the lab delivers the raw data from your sample to Tiny Health and we process it on our proprietary bioinformatics pipeline. Our proprietary bioinformatics platform (eg thMP, thDB, thDD) allows us to create custom metrics and reports that pull in your survey data (such as age, pregnancy or not, etc.). Next it is run through thMAP to plot the right reference ranges. We then use machine learning to personalize the recommendations we offer based on your individual results and survey data. Your sample goes through a series of quality control checks. Finally, it runs through our expert highlight process and you are notified of your results via email and SMS. This stage typically takes between 2-3 business days. 

Tiny Health collection swabs do not need to be frozen before being returned to the lab for processing. Tiny Health microbiome tests report on microbial markers, by sequencing their DNA. DNA is very stable at ambient temperatures and therefore does not need to be frozen. 

We also use a collection swab with the latest fast-drying technology. This fast-drying technology allows the swab to preserve the microbes from your sample and inactivates them which stops them from continuing to grow in transit. This advanced technology allows us to accurately process samples stored at room temperature for up to four weeks.

If your physician would like you to add on Tiny Health PRO, which tests for non-microbial markers, this part of your sample would need to be frozen. Non-microbial markers such as proteins like sIgA, elastase, and calprotectin, will degrade at room temperature. These non-microbial markers therefore have to be flash-frozen before sending in your sample.

There are two types of parasites. The first are Protists parasites, or single-cell organisms that are not visible to the naked eye. The second type of parasite are Helminths. Helminths are parasitic worms, meaning they are multicellular and may be visible to the naked eye.  

Tiny Health tests for Protists parasites, but does not test for multicellular worms. Testing for worms would require obtaining part of the worm for sequencing during the collection process, which is unlikely with our current collection process.  If you suspect you have a parasitic worm please reach out to your provider for the appropriate testing.

For more information, visit our blog post, Gut Parasites - Should I be worried?

The short answer is yes, we test for both Candida and H. Pylori.  However, these microbes can be harder to detect for the following reasons, and PCR based stool tests may be more sensitive when it comes to detecting them. 

Candida is a fungus and with their rigid cell wall it can be harder to extract DNA from them than bacteria. However, we use a DNA extraction method that has been well documented to work for a wide variety of fungal species, including Candida and molds (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224647/). There are a number of papers that use a very similar extraction method for a wide variety of fungal species, and they do not have problems extracting DNA. One relevant paper: https://www.atsjournals.org/doi/abs/10.1164/ajrccm-conference.2018.197.1_MeetingAbstracts.A5491. We have confirmation of this in our taxa results, that we do find Candida in a number of kits. The tricky thing here is that relative abundance is potentially less informative when compared to bacterial genomes. So while we detect presence/absence, it could be in a higher abundance than our methodology suggests.

Helicobacter pylori is a gram-negative bacterium. It can cause stomach inflammation and infections in the small intestine. As these are in the upper GI tract, and our samples (stool) primarily carry bacteria from the lower GI tract. While H. pylori infection is associated with gut microbiome composition changes (https://www.nature.com/articles/s41598-019-56631-4), sequencing it from stool without PCR amplification is difficult. Concerns with extracting DNA from H. pylori, typically stem from medical samples that are trying to isolate H. pylori from intestinal epithelial cells, which results in an overabundance of human cells. Similar methods to our DNA extraction method has been shown to extract DNA from H. pylori (https://journals.asm.org/doi/pdf/10.1128/mbio.00955-19). However, if the cells are not making it through the large intestine, the likelihood of capturing these cells is low. We have not detected H. pylori in any of our samples yet.

Testing:
In both of these cases, PCR based tests of stool may be more sensitive.

PubMed Central (PMC)
Evaluation of three DNA extraction methods from fungal cultures

Polymerase chain reaction (PCR) based assays have been developed to amplify DNA of fungal pathogens as culture-based detection methods show low sensitivity. In order to perform a sensitive, specific, and reliable PCR based assay, the availability of pure ... (174 kB)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224647/

Nature
Helicobacter pylori infection associates with fecal microbiota composition and diversity

Scientific Reports - Helicobacter pylori infection associates with fecal microbiota composition and diversity (184 kB)

Shotgun sequencing can be used to identify strain-level differences between microbes. This is important because sometimes the same species are doing very different things depending on which strain they are, for example, many strains of E. coli are commensal and don't cause harm, but some strains are pathogenic.

For the argument of sequencing DNA vs. RNA, both can be very useful, but for different things.

Shotgun sequencing with DNA can tell you both who’s in your microbiome and what they're capable of doing since we're sequencing all microbial genes, not just taxa markers. This lets us tell you if your gut has the right capacity for important gut health functions like short-chain fatty acid production or protein breakdown. But this doesn't tell you how much of that gene is actively been expressed in that moment.

The issue we find with RNA sequencing for understanding gut health is that it is highly variable and really dependent on what's happening in that sample. For example, your microbial RNA could look dramatically different depending on time of day, what you ate last night, how much sleep you got. It could be very different the next day. This makes it hard to give users an understanding of their microbiome health and what they should do to make long-term changes.

However, RNA sequencing is great for controlled trials that are looking at how specific microbes are responding to medication or drugs, for example. You just have to sample frequently and design very specific controls.

Tiny Health tests look at all bacteria, viruses, fungi, and parasites in your microbiome using deep metagenomic sequencing. This is the latest and best technology for microbiome analysis used by top research institutions.

In comparison:

Quantitative polymerase chain reaction (qPCR / PCR) tests 

PCR tests like GI Map, GI Effects, Gut Zoomer, or Doctors Data 360 examine a tiny fraction of the microbes in your gut. This technology is useful to healthcare providers for quick diagnosis of a specific infection or condition. But it only identifies specific microbes that the test is looking for, at nearly double the cost. And PCR tests often emphasize pathogenic microbes, and focus less on beneficial or new microbe discoveries. 

These tests sometimes include a culture component, which is very good at detecting certain pathogens. But they can miss things that are difficult to culture, and they can’t give you a picture of the whole microbiome community (Silverman 2021).

Some tests also report on non-microbial stool chemistry like secretory IgA or calprotectin. We do not think this is a necessary part of understanding your overall gut health if you are not actively experiencing symptoms. But it may be helpful when trying to get to the root cause of more severe chronic conditions. Tiny Health PRO tests include these non-microbial stool chemistry measures and can be ordered by your practitioner. 

16s amplicon sequencing

Lower-cost and quicker turnaround time tests on the market, like Snapi and Ombre, use 16s amplicon sequencing which targets 16S rRNA genes to identify bacteria only. While this sequencing method was groundbreaking in the early 2000s, it’s now considered a limited technology, especially when characterizing the complex communities of the gut microbiome because of its low taxonomic resolution lack of functional gene insights, and higher false positive rates (Peterson, D., 2021).

mRNA / RNA tests (metatranscriptomics)

Some microbiome companies like Viome use mRNA (or RNA) tests. This technology, called metatranscriptomics, looks for the gene sequences that are active at the time of sampling. It’s great to see which genes are actively expressed for research purposes. The downside of RNA testing, however, is that mRNA degrades quickly and is highly variable (Bashiardes, 2016; Reck, 2015). Time of day or even the contents of your last meal can affect your test results. And an mRNA test will not capture microbes that may be temporarily dormant  (Bashiardes, 2016). 

There is limited evidence for long-term dietary, supplement, or lifestyle interventions based on mRNA technology, because of its high variability.

Other metagenomics companies

Other companies using metagenomics like Floré use a smaller database of microbes and/or reference ranges that aren’t appropriate for a baby or child. In addition, many companies try to upsell you their own supplements. We only recommend products that we have researched and can stand behind, based on evidence of their effectiveness among our users.

Tiny Health uses CLIA and CAP certified labs to sequence microbiome samples. In short, your samples are processed at a clinical-grade lab, held to the highest possible standards.

CLIA stands for Clinical Laboratory Improvement Amendments. It is a program regulating the quality and safety of U.S. clinical laboratories to ensure the accuracy, reliability, and timeliness of patient test results. CLIA has regulatory requirements for quality that all laboratories must meet. You can find more information on The Centers for Medicare & Medicaid Services (CMS) website. 

CAP stands for College of American Pathologists. CAP’s accreditation program helps laboratories maintain accuracy of test results and ensure accurate patient diagnosis; meet required standards from CLIA, FDA and OSHA; manage rapidly evolving changes in laboratory medicine and technology; exchange ideas and best practices among pathology and laboratory medicine peers; and offer professional development and learning opportunities for laboratory staff. You can find more information on the CAP website.

References

C. Quince, A. W. Walker, J. T. Simpson, N. J. Loman, and N. Segata, “Shotgun metagenomics, from sampling to analysis,” Nat Biotechnol, vol. 35, no. 9, pp. 833–844, Sep. 2017, https://doi.org/10.1038/nbt.3935.

Bashiardes, S., Zilberman-Schapira, G., & Elinav, E. (2016). Use of Metatranscriptomics in Microbiome Research. Bioinformatics and Biology Insights, 10, 19–25. https://doi.org/10.4137/BBI.S34610

Peterson, D., Bonham, K. S., Rowland, S., Pattanayak, C. W., RESONANCE Consortium, & Klepac-Ceraj, V. (2021). Comparative Analysis of 16S rRNA Gene and Metagenome Sequencing in Pediatric Gut Microbiomes. Frontiers in Microbiology, 12, 670336. https://doi.org/10.3389/fmicb.2021.670336
Silverman, J. D., Bloom, R. J., Jiang, S., Durand, H. K., Dallow, E., Mukherjee, S., & David, L. A. (2021). Measuring and mitigating PCR bias in microbiota datasets. PLoS Computational Biology, 17(7), e1009113. https://doi.org/10.1371/journal.pcbi.1009113

Reck, M., Tomasch, J., Deng, Z., Jarek, M., Husemann, P., Wagner-Döbler, I., & COMBACTE Consortium. (2015). Stool metatranscriptomics: A technical guideline for mRNA stabilisation and isolation. BMC Genomics, 16(1), 494. https://doi.org/10.1186/s12864-015-1694-y

Wang, W.-L., Xu, S.-Y., Ren, Z.-G., Tao, L., Jiang, J.-W., & Zheng, S.-S. (2015). Application of metagenomics in the human gut microbiome. World Journal of Gastroenterology: WJG, 21(3), 803–814. https://doi.org/10.3748/wjg.v21.i3.803

Yang, S., & Rothman, R. E. (2004). PCR-based diagnostics for infectious diseases: uses, limitations, and future applications in acute-care settings. The Lancet Infectious Diseases, 4(6), 337–348. https://doi.org/10.1016/S1473-3099(04)01044-8

Yan, Y., Nguyen, L. H., Franzosa, E. A., & Huttenhower, C. (2020). Strain-level epidemiology of microbial communities and the human microbiome. Genome Medicine, 12(1), 71. https://doi.org/10.1186/s13073-020-00765-y

Zhang, X., Li, L., Butcher, J., Stintzi, A., & Figeys, D. (2019). Advancing functional and translational microbiome research using meta-omics approaches. Microbiome, 7(1), 154. https://doi.org/10.1186/s40168-019-0767-6