EPI2ME 26.06-01 Release

By Harrison Pirt
Published in Software Releases
June 09, 2026
1 min read
EPI2ME 26.06-01 Release

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:
    • discover
    • fixed_annotation
  • 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.


Tags

#nextflow#workflows#releases

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Harrison Pirt

Harrison Pirt

EPI2ME Product Manager

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