I have programmed (and hopefully improved) my process for analysis of uBiomes. It is still being debugged (and I doing a few of my backlog to test it).

See your Microbiome shifts in a tree

This allows a much clearer view of where hotspots of overgrowth are occurring.

tree

The factor shown are NOT from ubiome, but from my estimates (which will evolve). So what are uBiomes numbers?
save2

We are close, very close (1.74 vs 1.73, 3.71 vs 3.71, 3.96 vs 3.97).

All of the bacteria levels are hyperlinked to more information about each.

Recommendations

Recommendations are often increased and there can be some conflicts. For example, Walnuts, High Fat Diet, Vitamin D. This is because different bacteria reacts differently.

Item	Action	Avoid Weight	Take Weight
Bifidobacterium pseudocatenulatum LI09 and Bifidobacterium catenulatum LI10	Take	0	6.68
Cranberry bean flour	Take	0	6.06
Polymannuronic acid	Take	0	4.68
Walnuts	Take	2.93	6.47
Gallate	Take	0	3.52
Polysorbate 80	Take	2.86	5.82
Ketogenic diet	Take	0	2.86
Low fat diets	Take	0	2.86
L-Taurine	Take	0	2.86
Quercetin w. Resveratrol	Take	0	2.84
Bacillus subtilis	Take	0	2.71
Plant-rich diet	Take	0	2.71
Tannin	Take	0	2.71
Flaxseed	Take	0	2.12
High sugar diet	Take	0	2.09
Partial Sleep Deprivation	Take	0	1.2
Tannic acid	Take	0	1.2
Chamomile	Take	0	0.72
Chicory	Take	0	0.72
Grapes	Take	0	0.72
Inulin	Take	0	0.72
high-saturated fat diet	Take	0	0.72
Barley	Avoid	0.72	0
Bile	Avoid	0.72	0
High animal protein diet	Avoid	0.72	0
High protein diet	Avoid	0.72	0
Milk-derived saturated fat	Avoid	0.72	0
Pyruvate	Avoid	0.72	0
Daesiho-tang	Avoid	1.2	0
Ganoderma lucidum mycelium	Avoid	1.2	0
Gynostemma pentaphyllum	Avoid	1.2	0
Schisandra chinensis	Avoid	1.2	0
Vitamin D	Avoid	4.02	2.71
Saccharin	Avoid	2.09	0
Saccharomyces boulardii	Avoid	2.12	0
Sunflower Oil	Avoid	2.54	0
High fruit intake	Avoid	2.71	0
Carboxymethyl cellulose	Avoid	2.86	0
Navy bean	Avoid	2.86	0
Berberine	Avoid	2.95	0
Proton-pump inhibitors	Avoid	2.96	0
Resistant starch	Avoid	2.96	0
High meat diet	Avoid	3.43	0
High fat diet	Avoid	5.57	2.09
Acetic acid	Avoid	5.82	0
Isobutyric acid	Avoid	5.82	0
Isovaleric acid	Avoid	5.82	0
oligosaccharide	Avoid	6.06	0

Learning More

Clicking on an item like Vitamin D, will show you what we know that vitamin D changes (with the source of information)

gut

Bottom Line

The new do-the-analysis yourself site does a deeper evaluations of each item and their impact with full transparency to the data source.

I hope to have public uploads enabled within the week. There is a lot of data to be added to it, so it may be a month or more before that is complete. DataPunk data is complete — so there is a reasonable amount of data now (i.e. for the above, we have a long list of items suggested already).

If there are too many items, just go for the ones with the highest weights.

Rosa Entrealmendros (Rosi Morales) 6:33 pm on January 1, 2018

Muy interesante y muy aclaratorio. Creo que esto va a ser una herramienta muy útil, Muchas gracias por todo el trabajo. El mejor regalo para estas fiestas.
………….

Very interesting and very explanatory. I think this is going to be a very useful tool, Thank you very much for all the work. The best gift for these holidays.

CFS Remission

Striving for true remission of CFS, chronic Lyme, FM, IBS etc

Demo #1 Analysis from New Website

See your Microbiome shifts in a tree

Recommendations

Learning More

Bottom Line

See your Microbiome shifts in a tree

Recommendations

Learning More

Bottom Line

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