How well do RNA-Seq differential gene expression tools perform in a complex eukaryote? A case study in Arabidopsis thaliana.

Froussios, Kimon; Schurch, Nick J; Mackinnon, Katarzyna; Gierlinski, Marek; Duc, Céline; Simpson, Gordon G; Barton, Geoffrey J

Froussios, Kimon; Schurch, Nick J; Mackinnon, Katarzyna; Gierlinski, Marek; Duc, Céline; Simpson, Gordon G; Barton, Geoffrey J.

Afiliación

Froussios K; Division of Computational Biology, University of Dundee, Dundee, UK.
Schurch NJ; Division of Computational Biology, University of Dundee, Dundee, UK.
Mackinnon K; Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, UK.
Gierlinski M; Division of Computational Biology, University of Dundee, Dundee, UK.
Duc C; Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, UK.
Simpson GG; GReD, Faculté de Médecine 28, place Henri Dunant BP 38 - 63001 CLERMONT-FERRAND.
Barton GJ; Centre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, UK.

Bioinformatics ; 35(18): 3372-3377, 2019 09 15.

Article en En | MEDLINE | ID: mdl-30726870

Asunto(s)

Arabidopsis; Distribución Binomial; RNA-Seq; Análisis de Secuencia de ARN; Programas Informáticos

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Arabidopsis Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido

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