Cryptobacterium Details: NCBI 84162, high G+C gram-positive [genus]
| Cryptobacterium| Cryptobacterium Nakazawa et al. 1999
Taxonomy and Habitat:
- Cryptobacterium is a relatively less well-known genus within the Actinobacteria phylum. The taxonomy and characteristics of this genus may be the subject of ongoing research.
Limited Pathogenic Information:
- Information regarding the pathogenicity of Cryptobacterium species in humans is limited. It is not commonly associated with known infectious diseases, and there are no widely recognized health impacts directly attributed to this genus.
Normal Microbiota:
- Some bacteria that are part of the normal microbiota may have low pathogenic potential under usual circumstances. Cryptobacterium, like many other bacteria, may be part of the natural microbial communities in certain environments.
Environmental Roles:
- Actinobacteria, the phylum to which Cryptobacterium belongs, includes a diverse group of bacteria found in various environments, including soil and water. Many actinobacteria are known for their ecological roles, such as decomposition of organic matter.
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Other Sources for more information:
- Immune Epitope Database
- The NCBI taxonomy database
- UniProt
- Immune Epitope Taxonomy Database (IEDB)
- AI Engines For more Details: Perplexity Kagi Labs You
 Statistics
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NCBI | Data Punk | End Products Produced |
Lab Reporting
Different labs use different software to read the sample. See this post for more details.
One lab may say you have none, another may say you have a lot! - This may be solely due to the software they are using to estimate.
We deem lab specific values using values from the KM method for each specific lab to be the most reliable.
Desired Levels Suggestions for Cryptobacterium
- Frequency - how often do samples show this bacteria
- UD - An alternative statistical algorithm (which factors in the frequency)
- Kaltoft-Moldrup Heuristic Using uploaded data
- Lab Low and High are calculated using the formula that most labs use: Mean - 2 Standard Deviation to Mean + 2 Standard Deviation
| Lab | Frequency | UD-Low | UD-High | KM Low | KM High | Lab Low | Lab High | Mean | Median | Standard Deviation | Box Plot Low | Box Plot High | KM Percentile Low | KM Percentile High |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Other Labs | 0.26 | 1 | 76 | 0 | 84 | 30.5 | 20 | 27.4 | 1 | 76 | 12.5 %ile | 75 %ile | ||
| thorne | 72.41 | 1 | 20 | 0 | 18 | 7.6 | 6 | 5.1 | 4 | 14 | 0 %ile | 100 %ile | ||
| thryve | 36.28 | 0 | 23 | 19 | 180 | 0 | 831 | 149.2 | 54 | 348 | 0 | 203 | 8 %ile | 92 %ile |
| ubiome | 0.13 | 0 | 3510 | 3510 | 3510 | 3510 | 3510 | 0 %ile | 99 %ile |
External Reference Ranges for Cryptobacterium
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 0 | 6.15 | 0 | 0.0006 |
Statistic by Lab Source for Cryptobacterium
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSightRdp | 3.226 % | 0.002 % | % | 1.0 | 31 |
| bugspeak | 100 % | 0.005 % | % | 1.0 | 1 |
| CerbaLab | 66.667 % | 0.005 % | 0.004 % | 2.0 | 3 |
| custom | 1.639 % | 0 % | % | 1.0 | 61 |
| es-xenogene | 3.448 % | 0.002 % | % | 1.0 | 29 |
| Thorne | 57.692 % | 0 % | 0 % | 60.0 | 104 |
| Thryve | 39.281 % | 0.014 % | 0.032 % | 546.0 | 1390 |
| uBiome | 0.126 % | 0.351 % | % | 1.0 | 792 |
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