Arriba

DRIMSeq is a Bioconductor R package for Differential Transcript Usage (DTU) analysis using a Dirichlet-multinomial distribution to model transcript-level count proportions. Tests whether relative tran

3 shared topics

Use when working with stageR, the Bioconductor R package for stage-wise testing in RNA-seq transcriptomics. Covers two-stage testing workflows for differential expression (DESeq2/edgeR/limma-voom) and

3 shared topics

STAR-Fusion — detects candidate fusion transcripts from RNA-seq data using STAR alignments and the FusionInspector validation framework. Integrates with CTAT genome resource libraries for comprehensiv

3 shared topics

Trinity — de novo transcriptome assembler for RNA-seq data. Reconstructs full-length transcript isoforms without a reference genome using three sequential modules: Inchworm (greedy k-mer assembly), Ch

3 shared topics

FusionCatcher — tool for detecting somatic fusion genes, translocations, and chimeric transcripts from RNA-seq data. Identifies known and novel gene fusions in tumor and normal samples using multiple

2 shared topics • 1 shared operation