Skip to content

Metagenomic biomarker discovery and explanation

Nicola Segata, Jacques Izard, Levi D. Waldron, Dirk Gevers, Larisa Miropolsky, Wendy S. Garrett, Curtis Huttenhower

Genome biology · 2011 · 17,208 citationsOpen access

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/.

Cite this paper

Segata, N., Izard, J., Waldron, L. D., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011). Metagenomic biomarker discovery and explanation. Genome Biology, 12(6), R60. https://doi.org/10.1186/gb-2011-12-6-r60

Read it with every claim anchored

Add this paper to a project, ask questions of it, and get answers that point to the exact passage.

Start free
  1. Regularization and Variable Selection Via the Elastic Net2005
  2. MEME SUITE: tools for motif discovery and searching2009
  3. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy2005
  4. The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest2022
  5. An “Electronic Fluorescent Pictograph” Browser for Exploring and Analyzing Large-Scale Biological Data Sets2007

Metadata from OpenAlex (CC0). Citations are generated from the published record.