Bacteria of COVID-19

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Kaltoft-Moltrup Normal Range BiomeSight:2019-06-09 Mr.Example
Rank Name Low High Direction Count Percentile
class Acidobacteriia    📚 PubMed 432 187181 High 39090 74.6 %ile
family Aerococcaceae    📚 PubMed 10 2042 💥 High 540 86.8 %ile
family Carnobacteriaceae    📚 PubMed 8 740 Low 469 38.6 %ile
family Coriobacteriaceae    📚 PubMed 150 61689 Low 8110 58.3 %ile
family Enterobacteriaceae    📚 PubMed 13 132680 High 310 42.8 %ile
family Lachnospiraceae    📚 PubMed 103557 424424 Low 323830 84.5 %ile
family Moraxellaceae    📚 PubMed 6 745 Low 90 72.1 %ile
family Mycoplasmataceae    📚 PubMed 8 863 💥 Low 20 6.9 %ile
family Peptostreptococcaceae    📚 PubMed 140 56261 High 3530 44.4 %ile
family Ruminococcaceae    📚 PubMed 57206 396601 Low 250820 75.7 %ile
family Staphylococcaceae    📚 PubMed 4 2594 High 160 70 %ile
genus Actinomyces    📚 PubMed 12 1980 💥 High 1820 96.3 %ile
genus Anaerostipes    📚 PubMed 350 71789 💥 Low 790 13 %ile
genus Bacteroides    📚 PubMed 77260 503255 High 232390 45.3 %ile
genus Escherichia    📚 PubMed 0 113640 High 160 49 %ile
genus Faecalibacterium    📚 PubMed 22380 269291 High 147300 66.2 %ile
genus Finegoldia    📚 PubMed 6 18777 High 40 20.4 %ile
genus Rothia    📚 PubMed 0 410 High 20 18.8 %ile
genus Streptococcus    📚 PubMed 81 22169 💥 High 6700 81.4 %ile
genus Veillonella    📚 PubMed 12 14400 High 200 39.8 %ile
order Spirochaetales    📚 PubMed 0 130 Low 40 60.7 %ile
phylum Actinobacteria    📚 PubMed 3730 212861 High 55200 72.1 %ile
phylum Proteobacteria    📚 PubMed 8080 168691 High 14810 21.1 %ile

Kaltoft-Moltrup Normal Ranges, is a licensed properitary statistical algorithm that works off the shape of the data. It is not microbiome specific but appears to work very well for the microbiome. Ranges are NOT lab specific, but for aggregation across labs. Please contact your lab and ask for their Kaltoft-Moltrup Normal Ranges.


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