Dear Nanopore Community,
We are pleased to announce wf-transcriptomes v2.0.0, a major refresh of our long-read transcriptomics workflow. This release modernises the workflow around a new reference-guided analysis approach built on bambu, with SQANTI3 for transcript classification and QC, DESeq2 for differential gene expression, DEXSeq for differential transcript usage, and per-sample modified base summarisation with modkit when modification tags are present in aligned BAMs.
The new version is designed to improve robustness, reduce common workflow breakpoints, and provide a clearer and more consistent output structure for transcript discovery, quantification, QC, and downstream analysis.
New release:
wf-transcriptomes v2.0.0
- Rebuilt the workflow around bambu for reference-guided transcript discovery and quantification, replacing the previous StringTie / GffCompare / Salmon-based approach.
- The primary transcriptome result is now a shared cohort transcriptome built from all samples together.
- Added richer per-sample outputs, including transcriptome GTF, FASTA, count tables, transcript metadata, and QC summaries.
- Differential gene expression now uses DESeq2.
- Differential transcript usage continues to use DEXSeq, now driven from the shared bambu outputs.
- Added transcript classification and QC for both cohort and per-sample transcriptomes with SQANTI3.
- Improved workflow validation so prerequisites and experimental design issues are caught earlier in the run.
- Refreshed the output structure around:
cohort/ samples/<alias>/ de_analysis/<contrast>/
- Differential analysis outputs are now organised per contrast under
de_analysis/<contrast>/ - Added support for two transcriptome modes via
--transcriptome_mode: - Added per-sample modified base summarisation from aligned BAMs with
MM and ML tags using modkit, including:bedMethyl pileups- per-sample modification summary tables
- per-modification bigWig tracks
- Refreshed the report with new visual components, including:
- sample-level hierarchical clustering
- PCA plots
- distance heatmaps
- contrast-level interactive volcano plots
As always, thank you for your feedback and continued support.