article Open AccessTop 1% cited
Metagenomic biomarker discovery and explanation
Genome biology · 2011 · Vol. 12(6) · pp. R60–R60
Nicola Segata✉(Cancer Research And Biostatistics)Jacques Izard(Cancer Research And Biostatistics)Levi Waldron(Cancer Research And Biostatistics)Dirk Gevers(Broad Institute)Larisa Miropolsky(Harvard University)Wendy S. Garrett(Cancer Research And Biostatistics)Curtis Huttenhower(Cancer Research And Biostatistics)
Abstract
This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.
Gut microbiota and healthMetabolomics and Mass Spectrometry StudiesGene expression and cancer classificationMetagenomicsBiologyComputational biologyHuman geneticsGenome BiologyBiomarker discoveryEvolutionary biologyBiomarkerGenomicsGenetics
MeSH terms
AdultAnimalsBacteriaColitis, UlcerativeHumansInfantMice, Inbred BALB CMucous MembraneSensitivity and SpecificitySoftwareVirusesBiomarkersMice, KnockoutMiceMetagenome
Funding
- Broad Institute
- National Institutes of Health
- NIH Office of the Director
- National Institute of Dental and Craniofacial Research
Citations
16,223
FWCI
21.29
field-weighted impact
References
115
Percentile
100%
vs. same field & year
Citations per year
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