Kiloniellaceae Details: NCBI 597359, gram-negative or unknown [family]

| Kiloniellaceae| Kiloniellaceae Wiese et al. 2009

1. Environmental Bacteria: Members of the family Kiloniellaceae are often associated with environmental samples, including marine environments. They have been identified in studies examining microbial communities in oceans and sediments.

2. Ecological Roles: The ecological roles and functions of bacteria within the family Kiloniellaceae in natural ecosystems are areas of research. Their roles in nutrient cycling and microbial interactions within environmental habitats are subjects of scientific investigation.

3. Limited Clinical Information: Information specifically related to the health impacts of Kiloniellaceae on humans or animals is not well-documented in the available scientific literature. The focus of research on bacterial families like Kiloniellaceae may primarily be on their taxonomic classification and ecological roles.

4. Marine Environments: Some bacteria within the family Kiloniellaceae may be found in marine environments, and their presence may be influenced by factors such as salinity, temperature, and nutrient availability in these habitats.

Visuals of Interactions with other bacteria of the same rank

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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 

More Information

Statistics

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 Kiloniellaceae

• 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

These are values that are computed from lab specific samples (Patent Pending)

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	0.4			1	1511	0	1266	326.1	209	479.6	1	1511	9.1 %ile	81.8 %ile
biomesight	21.84	0	10	10	260	0	12096	453	30	5940.1	10	90	0 %ile	94.8 %ile
thryve	38.99	0	26	1	71907	0	20911	3627	90	8818.3	0	5865	0 %ile	100 %ile

External Reference Ranges for Kiloniellaceae

Kiloniellaceae (NCBI 597359) per million

Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age

Statistic by Lab Source for Kiloniellaceae

These desired values are reported from the lab reports

Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
BiomeSight	24.774 %	0.025 %	0.4 %	1153.0	4654
BiomeSightRdp	6.452 %	0.004 %	0.003 %	2.0	31
CerbaLab	33.333 %	0.001 %	%	1.0	3
es-xenogene	3.125 %	0 %	%	1.0	32
SequentiaBiotech	14.286 %	0.057 %	0.054 %	5.0	35
Thryve	36.423 %	0.293 %	0.785 %	562.0	1543

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