Enterobacter cancerogenus Details: NCBI 69218, gram-negative or unknown [species]
| ATCC 33241| ATCC 35317 [[Enterobacter taylorae Farmer et al. 1985]]| CCUG 18765 [[Enterobacter taylorae Farmer et al. 1985]]| CCUG 25231| CCUG 25589 [[Enterobacter taylorae Farmer et al. 1985]]| CDC 2126-81 [[Enterobacter taylorae Farmer et al. 1985]]| CDC Enteric Group 19| CFBP 4167| CIP 103787| DSM 17580| Enterobacter cancerogenus| Enterobacter cancerogenus (Urosevic 1966) Dickey and Zumoff 1988| Enterobacter taylorae| Enterobacter taylorae Farmer et al. 1985| Erwinia cancerogena| Erwinia cancerogena Urosevic 1966 (Approved Lists 1980)| ICMP 5706| JCM 3943 [[Enterobacter taylorae Farmer et al. 1985]]| LMG 2693| LMG:2693| NCPPB 2176| NCTC 12126 [[Enterobacter taylorae Farmer et al. 1985]]
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
 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 Enterobacter cancerogenus
- 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 | 0.26 | 3 | 100 | 0 | 105 | 33 | 18 | 36.6 | 3 | 100 | 12.5 %ile | 75 %ile | ||
| biomesight | 2.35 | 0 | 0 | 10 | 190 | 0 | 125 | 46.8 | 30 | 40.1 | 10 | 90 | 0 %ile | 100 %ile |
| thorne | 27.59 | 2 | 47 | 0 | 39 | 9.1 | 4 | 15.5 | 2 | 47 | 10 %ile | 80 %ile |
External Reference Ranges for Enterobacter cancerogenus
| Source of Ranges | Low Boundary | High Boundary | Low Boundary %age | High Boundary %age |
|---|---|---|---|---|
| XenoGene | 0 | 100 | 0 | 0.01 |
Statistic by Lab Source for Enterobacter cancerogenus
| Lab | Frequency Seen | Average | Standard Deviation | Sample Count | Lab Samples |
|---|---|---|---|---|---|
| BiomeSight | 2.947 % | 0.005 % | 0.006 % | 87.0 | 2952 |
| CerbaLab | 33.333 % | 0 % | % | 1.0 | 3 |
| custom | 6.557 % | 0.001 % | 0.001 % | 4.0 | 61 |
| es-xenogene | 20.69 % | 0.004 % | 0.003 % | 6.0 | 29 |
| Medivere | 14.286 % | 0.002 % | % | 1.0 | 7 |
| Thorne | 17.204 % | 0.001 % | 0.001 % | 16.0 | 93 |
|
|
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
Foods Containing the Enterobacter cancerogenus 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.
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.