MetaQuery: quantitative analysis of the human gut microbiome

Results

Estimated gene abundances and results from statistical analyses

Job details:

Submission date: 2018-12-17 19:52:00 PST
Job id & description: 1312, Unknown
Query type: protein
Count queries & homologs: 1, 6
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
query3725556CompleteK03707NOG293023BacteroidetesBacteroides100.0100.0100.0
query3726303CompleteK03707NOG293023unknownunknown93.993.963.2
query3096762Lack 3'-endK03707NOG293023unknownunknown95.9383.159.32
query3654562CompleteK03707NOG293023unknownunknown95.9394.456.78
query3738457CompleteK03707NOG293023unknownunknown97.5697.9753.94
query3684582CompleteK03707NOG293023unknownunknown99.1998.3952.65
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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