Details about Megamonas: NCBI 158846, gram-negative or unknown

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More Information
Statistics 9 Interactions with Other Bacteria 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

Using uploaded data for Megamonas

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
LabKM LowKM Percentile LowKM HighKM Percentile HighLab LowLab HighMeanStandard Deviation
All 0.001 10.9 %ile 5.955 96.4 %ile 0 6.63 0.827 2.961
BiomeSight 0.001 6.7 %ile 200 100 %ile 0 3.105 0.426 1.367
Ombre/Thryve 0.002 14.7 %ile 9.68 98.6 %ile 0 6.701 0.642 3.091
uBiome 0 0 %ile 200 100 %ile 0 16.194 4.112 6.164
Lab Suggestions for Megamonas
Megamonas (NCBI 158846) per million
Low Boundary High Boundary Low Boundary %age High Boundary %age Source
0 0 0 0 Metagenomics
Statistic by Lab Source
These desired values are reported from the lab reports
LabFrequency SeenAverageStandard DeviationSamples
Microba 3.333 %   1.64 %  % 30
BiomeSightRdp 14.634 %   0.851 %  1.226 % 41
CosmosId 5.405 %   2.736 %  0 % 37
es-xenogene 2.857 %   0.005 %  % 35
SequentiaBiotech 5.556 %   2.892 %  3.882 % 36
Thorne 100 %   0.115 %  0.655 % 35
uBiome 8.081 %   4.112 %  6.164 % 792
Thryve 24.008 %   0.623 %  2.783 % 1537
BiomeSight 17.013 %   0.437 %  1.485 % 2457
custom 5.97 %   0.081 %  0.155 % 67

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Data Contradictions โ€” Limits of Certainity

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General Substance Specific Substance Effect
Food (excluding seasonings) chicken Studies report Increases in consensus
Food (excluding seasonings) ku ding cha tea Studies report Decreases in consensus
Food (excluding seasonings) Whole Milk Studies report Decreases in consensus
Herb or Spice berberine Studies report Increases in consensus
Herb or Spice coptis chinensis, Chinese goldthread Studies report Increases in consensus
Herb or Spice ginko Studies report Increases in consensus
Herb or Spice glycyrrhizic acid (licorice) Studies report Decreases in consensus
Herb or Spice Slippery Elm Studies report Increases in consensus
Herb or Spice triphala Studies report Increases in consensus
Prebiotics and similar inulin (prebiotic) Studies report Increases in consensus
Prescription - Other helminth infection (prescription) Studies report Increases in consensus
Probiotics bacillus licheniformis,(probiotics) Studies report Increases in consensus
Probiotics lactobacillus plantarum (probiotics) Studies report Increases in consensus
Vitamins, Minerals and similar iron Studies report Decreases in consensus
Vitamins, Minerals and similar vitamin a Studies report Decreases in consensus
Vitamins, Minerals and similar Vitamin B9,folic acid Studies report Increases in consensus
Vitamins, Minerals and similar zinc Studies report Increases in consensus

All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.

Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine

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

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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.

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