Session description:
Explore the world of single-cell and single-nucleus transcriptomics with CELLxGENE, an open-source platform for exploring and visualizing this complex data with ease, right from your desktop! No computational expertise? No problem. We will show you, at any skill level, how to explore, analyze, and visualize your experiments.
Learning objectives:
- Versatile Data Handling helps you to seamlessly integrate both human and model-system data which will show you how to broaden your research scope.
- Enjoy an interactive experience by uploading your own experimental data or tapping into a rich repository of published datasets, then engage using the intuitive interface.
- Hypothesis Generation: Unlock your unique insights and generate new research hypotheses with preliminary analyses and visualizations.
- Learn to push the boundaries of your single-cell and single-nuclear sequencing projects.
Click here to sign up for the Big Data Lab Session: https://events.theisn.org/wcn25/book/bdl