16S rRNA gene-based

Microbiome Taxonomic Profiling

16S rRNA gene-based

Microbiome Taxonomic Profiling

  • Upload, compare & discover using web-browsers
  • Species-level profiling using EzBioCloud database
  • Better taxonomic structure at the suprageneric ranks
  • Functional profiling using >10,000 species data

What’s new

Predicting KEGG-based functional profiles
from 16S-based taxonomic profiles

  • No. of KEGG orthologs included
    00000
    0000
  • No. of genomes  that were used for predicting KEGG orthologs (one genome per OTU/species)
    00000
    0000
  • No. of genomes  that were used for predicting 16S copy numbers
    0000
    0000
EzBioCloud MTP provides an up-to-date prediction of KEGG-based orthologs, modules, and pathways.
We use the same algorithm as PICRUSt with up-to-date taxonomic, 16S, genome and KEGG databases.

Comparison of KEGG ortholog (KO) relative abundances
from 16S MTP (prediction) to shotgun metagenomics (expected).

0.81
Spearman rank correlation
0.87
Pearson correlation
KO relative abundance (16S MTP)
All KEGG categories
0.79
Spearman rank correlation
0.94
Pearson correlation
KO relative abundance (16S MTP)
Starch and sucrose metabolism
0.74
Spearman rank correlation
0.77
Pearson correlation
KO relative abundance (16S MTP)
Short chain fatty acid biosynthesis
0.85
Spearman rank correlation
0.92
Pearson correlation
KO relative abundance (16S MTP)
Antibiotic resistance
The data used were obtained from the NCBI SRA database (SRR049646, SRR061170).

Comparing your own data with the published microbiome data

EzBioCloud MTP provides various publicly available datasets (>11,000 samples) for you to compare with your own 16S data. These include US HMP set (8,138 samples) and various disease-related dataset (e.g., diabetes, IBS, Crohn’s diseases, multiple sclerosis, HIV infection) as well as mouse, soil and water samples.

Two fecal samples from a Korean were compared with US HMP data (40 samples).

This comparison would only take a few seconds.
Beta-diversity was calculated by Jensen-Shannon distance with copy-number correction.

Analyzing the Microbiome Standards from American Type Culture Collection (ATCC)

Using the reference database specially prepared for ATCC Microbiome Standards and 16S copy-number correctton algorithm, applying this standard to your microbiome experiments is easy and straightforward.

Maximize your discovery using species-level taxonomic identification

EzBioCloud 16S database contains >2,300 species represented by accurate, full-length 16S rRNA sequences that were generated by the PacBio’s ccs. This would allow most comprehensive species-level profiling using closed-reference OTU picking strategy.

Species assigned for a fecal microbiome of a Jackson Lab. C57BL/6 mouse.

The species labeled as PACxxxxxx_s is represented by a curated PacBio sequence.