MetaQuery: quantitative analysis of the human gut microbiome

Results

Estimated gene abundances and results from statistical analyses

Job details:

Submission date: 2018-09-27 06:20:14 PST
Job id & description: 1220, test
Query type: protein
Count queries & homologs: 1, 4
Min % identity & max e-value: 30%, 1e-5
Min % query & target coverage: 70%, 70%

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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
sp|Q9F0W4|NOSZ_PSEFL420445CompleteK00376COG4263Bacteroidetesunknown94.8493.3630.84
sp|Q9F0W4|NOSZ_PSEFL419823CompleteK00376COG4263Bacteroidetesunknown94.8493.3630.69
sp|Q9F0W4|NOSZ_PSEFL268768Lack 5'-endK00376COG4263unknownunknown86.5472.0632.39
sp|Q9F0W4|NOSZ_PSEFL895381Lack both endsK00376COG4263unknownunknown73.494.5132.01
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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
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Association of query gene abundance with clinical phenotypes:

Boxplots:


Statistics:

pheno country case_n ctrl_n case_mean ctrl_mean pvalue rank percentile
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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