Some 16s providers support download of FASTQ (raw data - BIG FILES). These can be processed thru other services (at the moment, Thryve and Biomesight offers free processing). The bacteria is determine by computer algorithms, which differs from lab to lab.
| Name | Percentage | |
|---|---|---|
| FASTQ processed thru both Thryve and BiomeSight | 93.3% | |
| BiomeSight | 91.1% | |
| Thorne | 88.9% | |
| Thryve | 88.9% | |
| uBiome | 88.9% | |
| es-xenogene | 82.2% | |
| BiomeSightRdp | 75.6% | |
| CosmosId | 73.3% | |
| Medivere | 73.3% | |
| AmericanGut | 64.4% | |
| SequentiaBiotech | 62.2% | |
| Microba | 48.9% | |
| GanzimmunDiag | 46.7% | |
| Gut Zoomer (vibrant-wellness) | 44.4% | |
| Genova Gi Effects (cfu/g) | 31.1% | |
| Microba1 | 31.1% | |
| Diagnostic Solution GI-Map (cfu/gm) | 24.4% | |
| GanzImmun Diagnostic A6 (cfu/gm) | 24.4% | |
| Metagenomics Stool (De Meirleir) (16s Limited) | 24.4% | |
| Nordic Laboratories | 20% | |
| Biovis Microbiome Plus (cfu/g) | 20% | |
| DayTwo | 20% | |
| GI360 Stool (UK) | 17.8% | |
| GI EcologiX (Invivo) | 13.3% | |
| Smart Gut (ubiome 16s - Limited Taxonomy) | 13.3% | |
| Verisana (cfu/ml) aka (kbe/ml) | 11.1% | |
| Viome (Latest Reports Fail to provide ANY measurements) | 11.1% | |
| NutriPATH | 11.1% | |
| InVitaLab (cfu/gm) | 11.1% | |
| Bioscreen (cfu/gm) | 8.9% | |
| GanzImmun Diagnostics AG Befundbericht | 8.9% | |
| Kyber Kompakt (cfu/g) | 6.7% | |
| Medivere: Darm Mikrobiom Stuhltest (16s limited) | 6.7% | |
| Medivere: Darn Magen Diagnostik (16s Limited) | 6.7% | |
| Medivere: Gesundsheitscheck Darm (16s Limited) | 6.7% | |
| Genova Parasitology (cfu/g) | 4.4% |
All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.
Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine
This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.
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Caveat emptor: Analysis and suggestions are based on modelling (and thus infererence) based on studies. The data sources are usually given for those that wish to consider alternative inferences. theories and models.
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