Nonomuraea Details: NCBI 83681, high G+C gram-positive [genus]
| Nonomuraea| Nonomuraea corrig. Zhang et al. 1998 emend. Nakaew et al. 2012| Nonomuria
Secondary Metabolites:
- Nonomuraea species are prolific producers of secondary metabolites, including antibiotics and other bioactive compounds. These metabolites often have antimicrobial, antifungal, or anticancer properties.
Antibiotic Production:
- Some Nonomuraea strains are known to produce antibiotics such as abyssomicins, which have shown activity against various bacteria, including drug-resistant strains.
Biotechnological Applications:
- Compounds produced by Nonomuraea species have been investigated for their potential applications in medicine and agriculture. They may have therapeutic uses or serve as leads for the development of new drugs.
No Known Pathogenicity:
- Nonomuraea species are not generally associated with causing diseases in humans or animals. Instead, they have been studied for their beneficial contributions to the production of bioactive compounds.
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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 Nonomuraea
- 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 | 0.44 | 4 | 780 | 0 | 579 | 106.4 | 14 | 241.4 | 4 | 780 | 8.3 %ile | 83.3 %ile | ||
| biomesight | 16.18 | 0 | 10 | 10 | 1360 | 0 | 758 | 131.7 | 20 | 319.6 | 0 | 120 | 0 %ile | 98.7 %ile |
| thorne | 96.55 | 1 | 44 | 0 | 28 | 11.2 | 9 | 8.6 | 3 | 17 | 0 %ile | 100 %ile | ||
| thryve | 3.07 | 1 | 125 | 0 | 61 | 20.1 | 16 | 20.7 | 3 | 25 | 0 %ile | 100 %ile |
External Reference Ranges for Nonomuraea
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| Thorne (20/80%ile) | 0 | 9.98 | 0 | 0.001 |
Statistic by Lab Source for Nonomuraea
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 17.212 % | 0.013 % | 0.03 % | 510.0 | 2963 |
| BiomeSightRdp | 16.129 % | 0.025 % | 0.03 % | 5.0 | 31 |
| bugspeak | 100 % | 0.016 % | % | 1.0 | 1 |
| CerbaLab | 66.667 % | 0 % | 0 % | 2.0 | 3 |
| custom | 1.639 % | 0.001 % | % | 1.0 | 61 |
| es-xenogene | 6.897 % | 0.004 % | 0.002 % | 2.0 | 29 |
| Medivere | 14.286 % | 0.002 % | % | 1.0 | 7 |
| Thorne | 75.962 % | 0.001 % | 0.001 % | 79.0 | 104 |
| Thryve | 3.165 % | 0.002 % | 0.003 % | 44.0 | 1390 |
| Tiny | 50 % | 0.001 % | % | 1.0 | 2 |
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