Thermus Details

Thermus Details: NCBI 270, gram-negative or unknown [genus]

| Thermus| Thermus Brock and Freeze 1969 (Approved Lists 1980) emend. Nobre et al. 1996| Thermus Distant 1909

A lot more information is available when you are logged in and raise the display level

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 Thermus

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	KM Low	KM High	Lab High	Mean	Median	Standard Deviation	Box Plot Low	Box Plot High	KM Percentile Low	KM Percentile High
Other Labs	0.57		1	100	94	28.7	16	33.2	1	100	6.7 %ile	86.7 %ile
biomesight	11.65	0	10	160	173	30.5	20	72.5	0	40	0 %ile	98.9 %ile
thorne	96.55		2	48	38	15.3	10	11.7	3	31	0 %ile	100 %ile
thryve	2.71		11	220	124	42.6	26	41.3	18	76	0 %ile	100 %ile

External Reference Ranges for Thermus

Thermus (NCBI 270) per million
Source of Ranges	Low Boundary	High Boundary	Low Boundary %age	High Boundary %age
Thorne (20/80%ile)	5.66	21.35	0.0006	0.0021

Statistic by Lab Source for Thermus

These desired values are reported from the lab reports
Lab	Frequency Seen	Average	Standard Deviation	Sample Count	Lab Samples
BiomeSight	11.715 %	0.003 %	0.007 %	347.0	2962
BiomeSightRdp	3.226 %	0.003 %	%	1.0	31
CerbaLab	66.667 %	0 %	0 %	2.0	3
custom	1.639 %	0 %	%	1.0	61
es-xenogene	13.793 %	0.006 %	0.004 %	4.0	29
Medivere	71.429 %	0.002 %	0 %	5.0	7
Thorne	77.228 %	0.001 %	0.001 %	78.0	101
Thryve	2.736 %	0.004 %	0.004 %	38.0	1389

To see medical conditions associated you may be logged in

And display level must be raised above public.

I would like to know what can change the quality that I have

If I want to know that a substance also changes, then I just click on it
If I want to know which study this information comes from, then I just clink in increases or decreases

Data Contradictions — Limits of Certainity

To get the list of studies, you must be logged in and raise your display level.

🧙? Search Hints:
General Substance	Specific Substance	Effect
Probiotics	bacillus subtilis (probiotics)	1 Studies recorded. The consensus is Increases👶, Click for details.

Foods Containing the Thermus 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.

Swiss type cheese Weight: 13.36 Cheese, Cheddar Weight: 11.12 Cheese, Emmental Weight: 10.89 yoghurt fermentation Weight: 2.638 Pasteurized Annatto Weight: 1.701 Colonial cheese, cow milk Weight: 0.1561 Piedmont hard cheese Weight: 0.1277 Swiss-Dutch-type cheese Weight: 0.07952 Firm - ripened cheeses Unpasteurised Cow Weight: 0.06445 Pasteurized Carotene Weight: 0.03002 Kefir Weight: 0.02848 Sausage, Cyprus: Limassol Weight: 0.0264 Ham fermented for 4 years Weight: 0.01681 Nunu, Ghana Weight: 0.01575 Cider - Dry Weight: 0.01451 Nono, Nigeria Weight: 0.0127 Palm wine Weight: 0.004378 Kwerionik, Uganda Weight: 0.00431

This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.

Explanations/Info/Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations. Please report any to us for correction.

Copyright 2016-2024 Lassesen Consulting, LLC [2007], DBA, Microbiome Prescription. All rights served.
Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 § 1030, CETS No.185, CFAA
Use of data on this site is prohibited except under written license. There is no charge for individual personal use. Use for any commercial applications or research requires a written license.
Caveat emptor: Analysis and suggestions are based on modelling (and thus infererence) based on studies. The data sources are usually given for those that wish to consider alternative inferences. theories and models.
Inventions/Methodologies on this site are Patent Pending.

Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions, or for any other purposes and accept no responsibility or liability whatsoever for such use.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.