This video features the opening session of the joint Galaxy/Bioconductor Community Conference (GBCC), held at Cold Spring Harbor Laboratory. The session begins with welcoming remarks that set a collaborative tone, followed by comprehensive "state of the union" updates from both the Bioconductor and Galaxy projects. These updates cover major achievements in the past year, including user and contributor growth, key software releases, infrastructure improvements, and successful training and community outreach initiatives.
The main segment is a live, multi-part demonstration titled "GBCC Live," designed to showcase the synergistic power of the two platforms through an end-to-end spatial proteomics analysis. The demonstration walks through: 1) executing a complex, pre-built image analysis pipeline in Galaxy; 2) performing interactive, in-depth statistical analysis on the results using Bioconductor and RStudio; 3) scaling the analysis by running workflows from the command line on an HPC cluster via Planemo; and 4) using a novel AI/LLM interface to interact with the analysis history, summarize the work, and automatically draft a publication-ready methods section. The session highlights the advanced, accessible, and integrated capabilities of the Galaxy and Bioconductor ecosystems for modern bioinformatics.
Highlights from the GBCC Opening Session: Galaxy & Bioconductor Updates and Live Demo
00:00:05 Welcome and Conference Kick-off: Michael Schatz opens the GBCC conference, highlighting Cold Spring Harbor's rich scientific history, including Nobel laureates and Claude Shannon's foundational work in information theory, setting the stage for a collaborative week.
00:05:27 The Power of Partnership: Anton Nekrutenko explains the synergistic relationship between Galaxy and Bioconductor using a tree analogy: Galaxy handles the heavy, standardized "trunk and branches" of data processing workflows, while Bioconductor excels at the "leaves"βthe final, nuanced interpretation and visualization for publication.
00:17:36 Bioconductor Project Update: Vince Carey provides a comprehensive update on the Bioconductor project, covering its funding, the transition to Zulip for communication, significant growth in packages, and key technical advancements in CI/CD, data technologies (e.g., Parquet, DuckDB), GPU support, and extensive training initiatives.
00:30:58 Galaxy's "Top 10" Achievements: The Galaxy team presents ten major highlights from the past year, including the growth of the global usegalaxy.* server alliance, crossing half a million registered users, a surge in community contributors, major collaborations (VGP, Anvil), and the success of the Galaxy Training Network.
00:41:28 Live Demo: Spatial Proteomics Analysis: The "GBCC Live" demonstration begins, centered on a spatial proteomics analysis of breast cancer tissue to showcase the platforms' capabilities and how they can be used together to drive discovery.
00:48:51 Executing Complex Workflows in Galaxy: Enis Afgan demonstrates running a multi-step image analysis pipeline using a vetted workflow from the Intergalactic Workflow Commission (IWC). Key features shown include instant data import from cloud storage (Dropbox) and the generation of interactive, visual summary reports.
01:06:22 Interactive Analysis with Bioconductor: Vince Carey takes the output from the Galaxy workflow and launches an RStudio session to perform interactive analysis. He uses Bioconductor packages (Voyager, zellkonverter) to conduct deeper spatial statistics (local G-statistics) and create dynamic visualizations in a Shiny app.
01:17:16 Scaling Analysis with the Command Line: Marius van den Beek shows how to scale up the analysis by running a Galaxy workflow directly from the command line on an HPC cluster using planemo. This allows users to leverage powerful external compute resources while maintaining reproducibility and then import the completed run back into the Galaxy UI for easy sharing and inspection.
01:36:41 AI-Powered Analysis and Reporting: Dannon Baker showcases a cutting-edge AI integration, using a Claude (LLM) interface to interact with Galaxy via natural language. He asks the AI to summarize his analysis history, generate a workflow diagram, and automatically draft a publication-ready methods section complete with tool citations.