Chryseobacterium Details: NCBI 59732, gram-negative or unknown [genus]
| Chryseobacterium| Chryseobacterium Vandamme et al. 1994 emend. Chen et al. 2015| Chryseobacterium Vandamme et al. 1994 emend. Hahnke et al. 2016| Chryseobacterium Vandamme et al. 1994 emend. Kampfer et al. 2009| Chryseobacterium Vandamme et al. 1994 emend. Montero-Calasanz et al. 2014| Chryseobacterium Vandamme et al. 1994 emend. Wu et al. 2013| Epilithonimonas| Epilithonimonas O'Sullivan et al. 2006| Kaistella| Kaistella Kim et al. 2004| Planobacterium| Planobacterium Peng et al. 2009| Sejongia| Sejongia Yi et al. 2005
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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 Chryseobacterium
- 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 | 0.71 | 6 | 6473 | 0 | 3955 | 761.2 | 46 | 1629.3 | 6 | 6473 | 0 %ile | 100 %ile | ||
| biomesight | 7.17 | 0 | 0 | 10 | 2800 | 0 | 581 | 80.9 | 30 | 255.4 | 10 | 70 | 0 %ile | 100 %ile |
| thorne | 100 | 36 | 699 | 0 | 576 | 202.2 | 109 | 191 | 63 | 323 | 0 %ile | 100 %ile | ||
| thryve | 3.79 | 1 | 273 | 0 | 181 | 62.9 | 38 | 60 | 2 | 154 | 0 %ile | 100 %ile | ||
| ubiome | 0.25 | 39 | 48 | 31 | 56 | 43.5 | 44 | 6.4 | 39 | 48 | 25 %ile | 50 %ile |
External Reference Ranges for Chryseobacterium
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 25.13 | 54.77 | 0.0025 | 0.0055 |
Statistic by Lab Source for Chryseobacterium
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| AmericanGut | 6.667 % | 0.647 % | % | 1.0 | 15 |
| BiomeSight | 6.885 % | 0.016 % | 0.084 % | 204.0 | 2963 |
| bugspeak | 100 % | 0.005 % | % | 1.0 | 1 |
| CerbaLab | 66.667 % | 0.004 % | 0.001 % | 2.0 | 3 |
| custom | 1.639 % | 0.006 % | % | 1.0 | 61 |
| es-xenogene | 13.793 % | 0.134 % | 0.012 % | 4.0 | 29 |
| Medivere | 85.714 % | 0.003 % | 0.001 % | 6.0 | 7 |
| Thorne | 86.538 % | 0.011 % | 0.015 % | 90.0 | 104 |
| Thryve | 3.094 % | 0.006 % | 0.006 % | 43.0 | 1390 |
| Tiny | 50 % | 0.001 % | % | 1.0 | 2 |
| uBiome | 0.253 % | 0.004 % | 0.001 % | 2.0 | 792 |
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Foods Containing the Chryseobacterium 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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