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BIBTEX RIS

Differential abundance analysis for microbial marker-gene surveys

2013; Nature Portfolio; Volume: 10; Issue: 12 Linguagem: Inglês

10.1038/nmeth.2658

ISSN

1548-7105

Autores

Joseph N. Paulson, O. Colin Stine, Héctor Corrada Bravo, Mihai Pop,

Tópico(s)

Genomics and Phylogenetic Studies

Resumo

We introduce a methodology to assess differential abundance in sparse high-throughput microbial marker-gene survey data. Our approach, implemented in the metagenomeSeq Bioconductor package, relies on a novel normalization technique and a statistical model that accounts for undersampling-a common feature of large-scale marker-gene studies. Using simulated data and several published microbiota data sets, we show that metagenomeSeq outperforms the tools currently used in this field.

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