omicplotR: visualizing omic datasets as compositions.

Giguere, Daniel J; Macklaim, Jean M; Lieng, Brandon Y; Gloor, Gregory B

Giguere, Daniel J; Macklaim, Jean M; Lieng, Brandon Y; Gloor, Gregory B.

Afiliação

Giguere DJ; Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, N6A5C1, Canada. dgiguer@uwo.ca.
Macklaim JM; Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, N6A5C1, Canada.
Lieng BY; Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, N6A5C1, Canada.
Gloor GB; Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, N6A5C1, Canada.

BMC Bioinformatics ; 20(1): 580, 2019 Nov 15.

Article em En | MEDLINE | ID: mdl-31729955

Assuntos

Bases de Dados como Assunto; Genômica; Software; Sequenciamento de Nucleotídeos em Larga Escala; Humanos; Análise de Componente Principal

Palavras-chave

Compositional data; Data visualization; Differential abundance; Differential expression; Effect plots; Exploratory data analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Bases de Dados como Assunto / Genômica Limite: Humans Idioma: En Revista: BMC Bioinformatics Ano de publicação: 2019 Tipo de documento: Article

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