depictio Depictio dashboard for viralrecon: 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 @Sarai, but the project has evolved a lot since and I am now sharing it more widely, so I would like the view of other viralrecon users and developers too. ✨ 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 viralrecon: per-sample QC, coverage per window and per amplicon, every variant call with its effect and allele frequency, and Pangolin lineages with Nextclade clades, 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? 👉 Dashboards: Illumina run and Nanopore run (no account needed) 💬 Comment on the dashboard (Google sign-in) or in the GitHub discussion dedicated to viralrecon. ⭐ A star on the repo is welcome if you find it useful. Thanks! 🙏 🎤 I am also presenting it today at the Nextflow Summit (virtual agenda) if you're interested in the project.

Incredible work!! 🤩🤩🤩🤩 I'll try to have a look at it as soon as possible and give you some feedback! I'm busy with some deadlines this month, but I'll try to do it on paralel!

Thanks Sarai 🤗 Let's catch up soon indeed !