Statistically significant bacteria for Immune Manifestations: medication sensitivities. using biomesight lab pipeline and genus taxonomy

This page has been revised to make visually clear the shifts and significance to non-statisticians. Statisticians are welcomed to download the full data and process it themselves.

Using this information have found significantly accurate prediction of symptoms on new people using the same pipeline. The same FASTQ file processed thru ubiome, Ombre, Biomesight and sequentia biotech; resulted in different genus being reported with different amounts. Clearly, the associations is processing pipeline dependent.

This table is regenerated every month on the 2nd using the latest data
Bacteria Shift Prevalence Number below 16%ile Number above 84%ile Chi2
Haemophilus increases 75.24 11.0 15.0 7.93
Porphyromonas decrease 82.75 18.0 11.0 10.14
Alkaliphilus decrease 97.78 22.0 2.0 12.94
Limnobacter increases 72.44 3.0 15.0 10.86
Anaerostipes decrease 89.12 18.0 3.0 9.12
Hydrocarboniphaga increases 74.87 4.0 16.0 9.56
Desulfurispora decrease 54.38 14.0 4.0 10.32
Negativicoccus increases 53.13 3.0 14.0 9.02
Hathewaya increases 98.52 7.0 17.0 7.21
Schaalia decrease 49.16 13.0 1.0 7.32

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