MetaQuery: quantitative analysis of the human gut microbiome

Results

Estimated gene abundances and results from statistical analyses

Job details:

Submission date: 2018-09-25 07:57:57 PST
Job id & description: 1212, PINO BLAST 70%ID
Query type: protein
Count queries & homologs: 5, 7
Min % identity & max e-value: 70%, 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
ber685591CompleteK00244COG1053ActinobacteriaEggerthella100.0100.0100.0
cdl2425092Lack 5'-endK00183COG0243unknownunknown84.36100.081.66
ber726399CompleteK00244COG1053Actinobacteriaunknown98.4199.8278.49
glm2412031CompleteK01599NOG132903unknownunknown100.0100.096.66
glm2384598CompleteK01599NOG132903unknownunknown100.099.479.64
glm2809722Lack 3'-endK01599NOG132903unknownunknown91.79100.072.52
glm3129031Lack 3'-endK01599NOG132903unknownunknown85.4199.6570.11
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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