MetaQuery: quantitative analysis of the human gut microbiome

Results

Estimated gene abundances and results from statistical analyses

Job details:

Submission date: 2018-09-25 03:33:36 PST
Job id & description: 1205, DsbB_Eoli
Query type: protein
Count queries & homologs: 1, 36
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|Q1RCR1|DSBB_ECOUT5318343CompleteK03611COG1495ProteobacteriaEscherichia100.098.88100.0
sp|Q1RCR1|DSBB_ECOUT5406522CompleteK03611COG1495ProteobacteriaEscherichia100.0100.092.05
sp|Q1RCR1|DSBB_ECOUT5381549CompleteK03611COG1495;NOG114190ProteobacteriaCitrobacter100.0100.085.8
sp|Q1RCR1|DSBB_ECOUT5333372CompleteK03611COG1495ProteobacteriaKlebsiella100.098.8880.68
sp|Q1RCR1|DSBB_ECOUT5340165CompleteK03611COG1495ProteobacteriaKlebsiella100.098.8880.11
sp|Q1RCR1|DSBB_ECOUT4971801Lack 5'-endK03611COG1495ProteobacteriaKlebsiella100.092.1580.11
sp|Q1RCR1|DSBB_ECOUT5340777CompleteK03611COG1495ProteobacteriaEnterobacter100.098.8879.55
sp|Q1RCR1|DSBB_ECOUT5406421CompleteK03611COG1495ProteobacteriaKlebsiella100.0100.078.98
sp|Q1RCR1|DSBB_ECOUT5347107CompleteK03611COG1495ProteobacteriaEnterobacter100.098.8878.41
sp|Q1RCR1|DSBB_ECOUT5347487CompleteK03611COG1495ProteobacteriaEnterobacter100.098.8878.98
sp|Q1RCR1|DSBB_ECOUT5406647CompleteK03611COG1495Proteobacteriaunknown100.0100.071.02
sp|Q1RCR1|DSBB_ECOUT5875019CompleteK03611COG1495ProteobacteriaKlebsiella90.34100.080.5
sp|Q1RCR1|DSBB_ECOUT5893758CompleteK03611COG1495ProteobacteriaEnterobacter90.34100.077.99
sp|Q1RCR1|DSBB_ECOUT5893676CompleteK03611COG1495ProteobacteriaCitrobacter90.34100.079.25
sp|Q1RCR1|DSBB_ECOUT5330193CompleteK03611COG1495;NOG114190ProteobacteriaCitrobacter100.098.8884.66
sp|Q1RCR1|DSBB_ECOUT5889823CompleteK03611COG1495ProteobacteriaEnterobacter90.34100.076.73
sp|Q1RCR1|DSBB_ECOUT5889567CompleteK03611COG1495ProteobacteriaEnterobacter90.34100.075.47
sp|Q1RCR1|DSBB_ECOUT5559010CompleteK03611COG1495ProteobacteriaProvidencia96.59100.068.42
sp|Q1RCR1|DSBB_ECOUT5792821CompleteK03611COG1495unknownunknown88.0795.0967.74
sp|Q1RCR1|DSBB_ECOUT5394655CompleteK03611COG1495unknownunknown98.86100.056.82
sp|Q1RCR1|DSBB_ECOUT5335413CompleteK03611COG1495ProteobacteriaProteus97.7397.7554.02
sp|Q1RCR1|DSBB_ECOUT5367589CompleteK03611COG1495ProteobacteriaHaemophilus98.398.3147.7
sp|Q1RCR1|DSBB_ECOUT5357380CompleteK03611COG1495ProteobacteriaHaemophilus98.398.3146.55
sp|Q1RCR1|DSBB_ECOUT5520445Lack 5'-endK03611COG1495ProteobacteriaHaemophilus95.4598.2646.75
sp|Q1RCR1|DSBB_ECOUT5356682CompleteK03611COG1495ProteobacteriaHaemophilus98.398.3145.4
sp|Q1RCR1|DSBB_ECOUT5157941Lack 5'-endK03611COG1495ProteobacteriaHaemophilus98.8695.6543.18
sp|Q1RCR1|DSBB_ECOUT5317739CompleteK03611COG1495ProteobacteriaAggregatibacter100.097.2144.63
sp|Q1RCR1|DSBB_ECOUT5939670Lack 3'-endK03611COG1495unknownunknown83.5294.348.99
sp|Q1RCR1|DSBB_ECOUT6805989Lack 3'-endK03611COG1495ProteobacteriaAggregatibacter70.45100.046.4
sp|Q1RCR1|DSBB_ECOUT5360378CompleteK03611COG1495Proteobacteriaunknown98.398.3130.46
sp|Q1RCR1|DSBB_ECOUT5377397CompleteK03611COG1495ProteobacteriaSuccinatimonas98.398.3132.18
sp|Q1RCR1|DSBB_ECOUT4776869CompleteK03611COG1495unknownunknown100.089.936.31
sp|Q1RCR1|DSBB_ECOUT4990895Lack 5'-endK03611COG1495unknownunknown98.8692.1135.43
sp|Q1RCR1|DSBB_ECOUT5756455CompleteK03611COG1495unknownunknown88.0796.3435.44
sp|Q1RCR1|DSBB_ECOUT5224207CompleteK03611COG1495unknownunknown100.098.3536.31
sp|Q1RCR1|DSBB_ECOUT5583481CompleteK03611COG1495unknownunknown82.3987.0630.87
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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