Compositional data analysis of the microbiome: fundamentals, tools, and challenges

Annals of Epidemiology

Volumn 26, Issue 5, 2016, Pages 330-335

  Tsilimigras, Matthew C B ^a   Fodor, Anthony A ^a  

^a University of North Carolina at Charlotte   (United States)

Author keywords

16S; Data interpretation, statistical; High throughput nucleotide sequencing; Metagenomics; Microbiota; RNA, Ribosomal; Selection bias; Statistics as topic

Indexed keywords

RNA 16S;

GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; METAGENOMICS; MICROFLORA; NEEDS ASSESSMENT; PROCEDURES; SELECTION BIAS; STATISTICAL MODEL;

HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; METAGENOMICS; MICROBIOTA; MODELS, STATISTICAL; NEEDS ASSESSMENT; RNA, RIBOSOMAL, 16S; SELECTION BIAS;

EID: 84996599775     PISSN: 10472797     EISSN: 18732585     Source Type: Journal    
DOI: 10.1016/j.annepidem.2016.03.002     Document Type: Review

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