Cerasicoccus Details: NCBI 468938, gram-negative or unknown [genus]
| Cerasicoccus| Cerasicoccus Yoon et al. 2007
Taxonomy and Ecology:
- Cerasicoccus is a bacterial genus, and its members are likely to have ecological roles in specific environments. Understanding the taxonomy, metabolic capabilities, and ecological niche of bacteria within this genus is essential for assessing their potential impact on health.
Environmental Bacteria:
- Many bacterial genera, particularly those not commonly associated with human pathogens, are part of the environmental microbiota. Their natural habitats may include soil, water, or other ecological niches.
Lack of Pathogenicity Information:
- As of my last update, there is limited information available regarding the pathogenicity of Cerasicoccus species. Some bacterial genera have members that are pathogenic, while others are considered non-pathogenic and may even have beneficial roles.
Biotechnological Potential:
- Less-studied bacterial genera like Cerasicoccus may have potential biotechnological applications. Some bacteria are known for producing enzymes, bioactive compounds, or other substances with industrial or environmental relevance.
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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 Cerasicoccus
- 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 | 10 | 50 | 0 | 53 | 20.5 | 12 | 16.4 | 10 | 50 | 12.5 %ile | 75 %ile | ||
| biomesight | 22.25 | 0 | 10 | 10 | 440 | 0 | 2183 | 341.6 | 30 | 939.4 | 10 | 410 | 0 %ile | 91.2 %ile |
| thryve | 19.13 | 0 | 10 | 1 | 44852 | 0 | 6551 | 436.7 | 31 | 3119.3 | 5 | 211 | 0 %ile | 100 %ile |
External Reference Ranges for Cerasicoccus
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
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Statistic by Lab Source for Cerasicoccus
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 25.152 % | 0.037 % | 0.152 % | 745.0 | 2962 |
| BiomeSightRdp | 32.258 % | 0.002 % | 0.001 % | 10.0 | 31 |
| custom | 1.639 % | 0.003 % | % | 1.0 | 61 |
| Medivere | 14.286 % | 0.001 % | % | 1.0 | 7 |
| Thryve | 17.592 % | 0.041 % | 0.291 % | 244.0 | 1387 |
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Foods Containing the Cerasicoccus bacteria
Data comes from FoodMicrobionet. For the meaning of weight, see that site. The bacteria does not need to be alive to have an effect.
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