Glimma: Interactive graphics for gene expression analysis

Bioinformatics

Volumn 33, Issue 13, 2017, Pages 2050-2052

  Su, Shian ^a   Law, Charity W ^a,b   Ah Cann, Casey ^a,b   Asselin Labat, Marie Liesse ^a,b   Blewitt, Marnie E ^a,b   Ritchie, Matthew E ^a,b,c  

^a WALTER AND ELIZA HALL INSTITUTE OF MEDICAL RESEARCH   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; GENE EXPRESSION PROFILING; MOUSE; PROCEDURES; SEQUENCE ANALYSIS; SOFTWARE;

ANIMALS; GENE EXPRESSION PROFILING; MICE; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 85021784604     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btx094     Document Type: Article

References (3)

1. Love, M. I., et al. (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol., 15, 550.
2. Ritchie, M. E., et al. (2015) limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res., 43, e47.
3. Robinson, M. D., et al. (2010) edgeR: A Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics, 26, 139-140.