depictio Depictio dashboard for mhcquant: your feedback wanted Hi all! 👋 I am building Depictio, an open-source platform from EMBL to explore pipeline results without writing a Shiny or Streamlit app each time. A pipeline gets a dashboard template: a short definition that turns the outputs of any run into an interactive dashboard. I am now sharing it more widely, so I would like the view of mhcquant users and developers. ✨ What it does • MultiQC reports (aggregated across runs) next to result tables, images, phylogenetic trees, maps... with linked filters • Reusable: point the template at any new run of the same pipeline and you get the same dashboard • Fully editable: modify any dashboard from the GUI or in YAML, so the template is a starting point, not a constraint • Versioned, with comments and annotations on any component • Runs as a Python package, with Docker Compose or on Kubernetes, and can serve as a companion web app for a publication 🧪 For mhcquant: replicate reproducibility, identification yield and FDR, retention time and mass accuracy, the MHC class signature of peptide lengths and anchor motifs, and peptides shared between conditions with their source proteins, next to the MultiQC report. 👀 What I need: I have built 25 templates and want people who really use these pipelines to review and criticise them. What is useful? What is misleading? 👉 Dashboard: mhcquant dashboard (no account needed) 💬 Comment on the dashboard (Google sign-in) or in the GitHub discussion dedicated to mhcquant. ⭐ A star on the repo is welcome if you find it useful. Thanks! 🙏 🎤 I was speaking about Depictio at the Nextflow Summit (session page), and the recording will be available in the coming weeks.

Awesome job, congrats! I’ll gladly provide feeback in the next couple of days

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