Unifying the analysis of high-throughput sequencing datasets: Characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis

Microbiome

Volumn 2, Issue 1, 2014, Pages

  Fernandes, Andrew D ^a   Reid, Jennifer N S ^b   Macklaim, Jean M ^b   McMurrough, Thomas A ^b   Edgell, David R ^b   Gloor, Gregory B ^b  

^a YouKaryote Genomics   (Canada)

^b UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

16S rRNA gene sequencing; centered log ratio transformation; compositional data; differential abundance; Dirichlet distribution; high throughput sequencing; microbiome; Monte Carlo sampling; RNA seq

Indexed keywords

RNA 16S;

ARTICLE; CHEEK MUCOSA; DATA ANALYSIS; FALSE POSITIVE RESULT; GENE EXPRESSION; GENE SEQUENCE; GROWTH; HIGH THROUGHPUT SEQUENCING; HUMAN; MATHEMATICAL MODEL; MONTE CARLO METHOD; PRIORITY JOURNAL; RNA SEQUENCE; SAMPLE SIZE; SEQUENCE ANALYSIS;

EID: 84902140982     PISSN: None     EISSN: 20492618     Source Type: Journal    
DOI: 10.1186/2049-2618-2-15     Document Type: Article

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