MetaQuery: quantitative analysis of the human gut microbiome

Results

Estimated gene abundances and results from statistical analyses

Job details:

Submission date: 2019-02-15 16:50:18 PST
Job id & description: 1339, baie-4
Query type: protein
Count queries & homologs: 2, 3
Min % identity & max e-value: 80%, 1e-5
Min % query & target coverage: 70%, 70%

Click here to download results

Table of contents:


Gut microbiome genes homologous to your query gene:

query_id target_id status kegg eggnog phylum genus query_cov target_cov percent_identity
SRS020869-36498_15-4530-3967-(4)5087212CompleteunknownbactNOG80390unknownunknown98.94100.0100.0
SRS020869-36498_15-4530-3967-(4)5084370CompleteunknownbactNOG80390unknownunknown98.94100.096.77
SRS020869-36498_15-4530-3967-(4)4797528CompleteunknownbactNOG80390unknownunknown100.095.4388.3
Click on arrows to sort table data. Shift+click to sort by multiple columns.

The abundance of your query across gut microbiome samples:




The prevalence of your query across gut microbiome samples:




Taxonomic groups correlated with your query gene:

tax_level tax_name spearman_rho pvalue qvalue
Click on arrows to sort table data. Shift+click to sort by multiple columns.

Association of query gene abundance with clinical phenotypes:

Boxplots:


Statistics:

pheno country case_n ctrl_n case_mean ctrl_mean pvalue rank percentile
Click on arrows to sort table data. Shift+click to sort by multiple columns.

Citation:

Nayfach S, Fischbach MA, Pollard KS. MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome. Bioinformatics 2015;31(14). doi:10.1093/bioinformatics/btv382