depictio Depictio dashboard for proteinfold: feedback wanted Depictio (open source, from EMBL) turns the output of a workflow run into an interactive dashboard you can share, so nobody has to write a Shiny or Streamlit app for each project. Point a template at any run of a pipeline and you get the same dashboard, which you can edit (UI & YAML), version and comment. 🧩 The proteinfold dashboard template shows per-engine model scores, the 3D structure coloured by confidence, the predicted aligned error matrix, and how AlphaFold2, ColabFold, ESMFold and RoseTTAFold agree on each target. 🙌 We need your help! Feedback and ideas welcome in #C0AFS06G9HR (all templates and details there) or in the proteinfold GitHub discussion. @Evangelos Karatzas 😎

@Jose Espinosa-Carrasco ;)

For those of you of want a brief overview of what you can do (this is #C07URFZF074 but similar features are available here):

Thanks @Thomas Weber! I think@Keiran Rowell has been working on a prototype of a new reporting feature for the pipeline so he’d probably be the best person to evaluate whether Depictio could fit in with that.

Thanks @Jose Espinosa-Carrasco! Happy to discuss this further with @Keiran Rowell 🙂

Hi @Thomas Weber, the main feature I added was a 'bulk' MultiQC report for a quick tabular summary (attached) across all (sub)-samples in a run. Merged into the Australian fork. From a quick glance, I think that would fit easily within Depictio through MultiQC components? My personal feeling is the Depictio report is great and could be the default! The features complement and extend the current reporting really nicely :) It's worth including @Thomas Litfin and others from the BioCommons who have tweaked the reporting the their style for a Seqera platform front-end.