| Deinococcaceae| Deinococcaceae Brooks and Murray 1981 emend. Rainey et al. 1997
Resistance to Environmental Stress: Bacteria in the Deinococcaceae family, particularly Deinococcus species, are known for their extreme resistance to environmental stresses, including ionizing radiation, ultraviolet (UV) radiation, and desiccation. This resilience is attributed to their efficient DNA repair mechanisms.
Non-pathogenic: Deinococcaceae bacteria are not considered pathogens and are not associated with causing diseases in humans. They are more commonly found in environmental niches, including soil and water.
Biotechnological Applications: The unique characteristics of Deinococcus bacteria, such as their ability to withstand high levels of radiation, have led to interest in their biotechnological applications. They have been studied for their potential use in bioremediation and other industrial processes.
Research Focus: While Deinococcaceae is not known to be pathogenic to humans, the family has been extensively studied for its fundamental biology, radiation resistance mechanisms, and potential applications in various fields.
Environmental Impact: Understanding the role of Deinococcaceae in natural environments contributes to our knowledge of microbial diversity and resilience in extreme conditions. These bacteria may play ecological roles in nutrient cycling and environmental processes.
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Other Sources for more information:
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NCBI | Data Punk | End Products Produced |
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.
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 | 1.02 | 8 | 8217 | 0 | 3753 | 414.9 | 20 | 1703 | 0 | 180 | 0 %ile | 100 %ile | ||
biomesight | 44.09 | 0 | 20 | 10 | 410 | 0 | 434 | 81.5 | 30 | 179.7 | 10 | 130 | 0 %ile | 97.2 %ile |
thorne | 100 | 12 | 166 | 0 | 147 | 68.8 | 56 | 40 | 30 | 114 | 0 %ile | 100 %ile | ||
thryve | 10.83 | 0 | 1 | 326 | 0 | 123 | 32.8 | 19 | 46.1 | 9 | 43 | 0 %ile | 100 %ile | |
ubiome | 0.76 | 21 | 180 | 0 | 182 | 65.2 | 40 | 59.8 | 21 | 180 | 12.5 %ile | 75 %ile |
Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
---|---|---|---|---|
PrecisionBiome | 1.5193158105830662E-05 | 6.747362203896046E-05 | 0 | 0 |
Thorne (20/80%ile) | 36.55 | 85.79 | 0.0037 | 0.0086 |
Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
---|---|---|---|---|---|
BiomeSight | 49.159 % | 0.012 % | 0.07 % | 2310.0 | 4699 |
BiomeSightRdp | 38.71 % | 0.002 % | 0.002 % | 12.0 | 31 |
bugspeak | 100 % | 0.016 % | % | 1.0 | 1 |
CerbaLab | 66.667 % | 0.001 % | 0.001 % | 2.0 | 3 |
custom | 1.299 % | 0.002 % | % | 1.0 | 77 |
es-xenogene | 18.75 % | 0.013 % | 0.014 % | 6.0 | 32 |
Medivere | 50 % | 0.003 % | 0.004 % | 4.0 | 8 |
SequentiaBiotech | 2.857 % | 0.822 % | % | 1.0 | 35 |
Thorne | 93.537 % | 0.003 % | 0.002 % | 275.0 | 294 |
Thryve | 11.147 % | 0.003 % | 0.004 % | 172.0 | 1543 |
uBiome | 0.748 % | 0.007 % | 0.006 % | 6.0 | 802 |
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