Claire Duvallet

This paper introduces MicrobiomeCensus, an algorithm to estimate human population size from sewage samples using microbial taxon abundance distributions, showing it outperforms generic algorithms in simulations and field data.

This study analyzes 24-hour residential sewage using untargeted genomics and metabolomics to identify human-derived biomarkers and inform public health.

This paper benchmarks classic and modern false discovery rate methods in computational biology, finding modern methods with informative covariates offer modest power gains without sacrificing FDR control.

This study assesses the public health risk of antibiotic resistance genes in wastewater by combining metagenomic analysis with risk prioritization across multiple countries.

This paper compares batch correction methods for microbiome case-control studies, showing percentile-normalization improves sensitivity in meta-analyses.