Predicting KEGG-based functional profiles
from 16S-based taxonomic profiles
(Langille et al. 2013)
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.
Users affiliated with academic and non-profit institutions are entailed to
free use of EzBioCloud's database and bioinformatics applications with conditions. Reproduction or redistribution of EzBioCloud is strictly prohibited by
applicable law and regulations.
For the following cases, please contact bs.ngs@cj.net to obtain a license to
use our services.
Use in for-profit institutions or companies.
Use for commercial projects by academic or non-profit organizations
Please login to the site to download the database.
Click here to
login or register if you do not have an account
yet.
Your institution doesn't appear to be registered with us. Please request
institution verification by clicking the button below.
The email domain associated with your EzBioCloud account doesn't
appear to be an institution that we recognize. Please do not use gmail, hotmail
etc. Use your institutional email.
If you believe this is an error, please contact bs.ngs@cj.net for further
assistance.
By not agreeing to only use EzBioCloud for non-profit purposes, you will not be granted free access to our database and bioinformatics applications on EzBioCloud.
Please Confirm or Go back to change your status.
This browser is not supported.
We recommend to download the following browser from the link below.