depictio Depictio dashboard for ampliseq: 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 discussed an earlier version with @Daniel Straub, but the project has evolved a lot since and I am now sharing it more widely, so I would like the view of other ampliseq users and developers too. I'm myself an ampliseq user and contributed a few times, in the context of TREC data analysis. ✨ 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 ampliseq: taxonomic composition per group and per sample, alpha diversity with rarefaction curves, ordination, ANCOM-BC differential abundance and the phylogenetic tree, 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: ampliseq dashboard (no account needed) 💬 Comment on the dashboard (Google sign-in) or in the GitHub discussion dedicated to ampliseq. 🎤 I am also presenting it today at the Nextflow Summit (virtual agenda) if you're interested in the project ⭐ A star on the repo is welcome if you find it useful. Thanks! 🙏