Compcoder-An R package for benchmarking differential expression methods for RNA-seq data

Bioinformatics

Volumn 30, Issue 17, 2014, Pages 2517-2518

  Soneson, Charlotte ^a  

^a SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAM; GENE EXPRESSION PROFILING; PROCEDURES; QUALITY CONTROL; SEQUENCE ANALYSIS;

BENCHMARKING; GENE EXPRESSION PROFILING; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 84907021033     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu324     Document Type: Article

References (6)

1. Anders, S. and Huber, W. (2010) Differential expression analysis for sequence count data. Genome Biol., 11, R106.
2. Hardcastle, T.J. and Kelly, K.A. (2010) baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data. BMC Bioinformatics, 11, 422.
3. Robinson, M.D. et al. (2010) edgeR: A Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics, 26, 139-140.
4. Robles, J.A. et al. (2012) Efficient experimental design and analysis strategies for the detection of differential expression using RNA-sequencing. BMC Genomics, 13, 484.
5. Soneson, C. and Delorenzi, M. (2013) A comparison of methods for differential expression analysis of RNA-seq data. BMC Bioinformatics, 14, 91.
6. Tarazona, S. et al. (2011) Differential expression in RNA-seq: A matter of depth. Genome Res., 21, 2213-2223.