Metagenomic biomarker discovery and explanation
Nicola SegataDepartment of Biostatistics, 677 Huntington Avenue, Harvard School of Public Health, Boston, MA 02115, USAJacques IzardDepartment of Biostatistics, 677 Huntington Avenue, Harvard School of Public Health, Boston, MA 02115, USALevi WaldronDepartment of Biostatistics, 677 Huntington Avenue, Harvard School of Public Health, Boston, MA 02115, USADirk GeversDepartment of Biostatistics, 677 Huntington Avenue, Harvard School of Public Health, Boston, MA 02115, USALarisa MiropolskyDepartment of Biostatistics, 677 Huntington Avenue, Harvard School of Public Health, Boston, MA 02115, USAWendy S. GarrettDepartment of Biostatistics, 677 Huntington Avenue, Harvard School of Public Health, Boston, MA 02115, USACurtis HuttenhowerDepartment of Biostatistics, 677 Huntington Avenue, Harvard School of Public Health, Boston, MA 02115, USA
2011en
ABI
Аннотация
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/.
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Цитирований: 3Использованных источников: 0