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Statistically significant bacteria for Post-exertional malaise: Next-day soreness after everyday activities 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
Bacteroides increases 100 9.0 33.0 12.69
Selenomonas increases 94.39 15.0 28.0 10.04
Thiocapsa increases 26.8 0.0 17.0 21.93
Nostoc increases 39.23 0.0 13.0 13.03
Erysipelothrix increases 84.84 7.0 28.0 14.24
Bifidobacterium decrease 98.18 28.0 11.0 9.33
Salinicoccus decrease 44.62 16.0 8.0 10.76
Dethiosulfovibrio increases 57.92 5.0 17.0 6.81
Holdemania increases 87.45 7.0 27.0 11.86
Slackia decrease 87 21.0 13.0 7.09
Hymenobacter increases 63.87 3.0 23.0 22
Thermicanus decrease 84.69 27.0 14.0 10.63
Coprobacillus increases 97.35 8.0 29.0 10.56
Faecalibacterium decrease 99.93 33.0 18.0 12.69
Caldilinea increases 32.74 6.0 11.0 7.36
Odoribacter increases 89.62 14.0 28.0 7.76
Sharpea increases 42.72 7.0 18.0 7.35
Phocaeicola increases 99.93 10.0 30.0 8.14

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