Tag Archives: biological variability

A key component in many RNA-Seq based studies is the production of multiple replicates for varying experimental conditions. Such replicates allow to capture underlying biological variability and control for experimental ones. However, during data production researchers often lack clear definitions ...

Transcriptomes are routinely compared in term of a list of differentially expressed genes followed by functional enrichment analysis. Due to the technology limitations of microarray, the molecular mechanisms of differential expression is poorly understood. Using RNA-seq data, researchers at Wayne ...

SeqGSEA is an open-source Bioconductor package, for the functional integration of differential expression and splicing analysis in RNA-Seq data. SeqGSEA implements an analysis pipeline which first computes differential splicing (DS) and differential expression (DE) scores, followed by integrating them into ...