MetaQuery: quantitative analysis of the human gut microbiome

Results

Estimated gene abundances and results from statistical analyses

Job details:

Submission date: 2019-03-29 03:52:05 PST
Job id & description: 1362, yeaW
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|P0ABR7|CNTA_ECOLI1646162Lack 5'-endK00470;K00517COG4638ProteobacteriaEscherichia100.093.73100.0
sp|P0ABR7|CNTA_ECOLI1898703CompleteK00470;K00517COG4638ProteobacteriaCitrobacter100.0100.091.71
sp|P0ABR7|CNTA_ECOLI1891014CompleteK00470;K00517COG4638ProteobacteriaKlebsiella99.7399.7390.62
sp|P0ABR7|CNTA_ECOLI1885841CompleteK00470COG4638ProteobacteriaProvidencia98.6698.6763.44
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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