Explore the observations
Examine the data alongside the original question. Use the agent to work through patterns and possible next analyses.
03 / ANALYSIS & VISUALIZATION
Understand the result.
Explore the next question.
Analyze data and develop figures with an agent. Examine patterns, ask what might explain them, and bring the results back to your research question.
ANALYSIS & VISUALIZATION IN THE WORKSPACE
DESKTOP APP CONCEPT
Explore the documents and controls. All data and execution states are illustrative.
HOW IT SUPPORTS YOUR WORK
There is more to a result than a plot.
A figure is a way into the data. Work through the underlying observations, the experimental context, and the limits of an interpretation before deciding what comes next.
Develop the figures
Create visualizations that help you see and explain the result. Move between a visual overview and the details behind it.
Put results in context
Discuss alternative explanations and study limitations. Your biological expertise gives the analysis its meaning.
AN EXAMPLE RESEARCH CONTEXT
One comparison. Different ways to examine it.
Explore a simulated expression comparison as a plot or a results table. The display controls change which illustrative points are highlighted; they do not run a statistical analysis.
- Visual overview
- A simulated volcano plot
- Detailed view
- Example rows with effect sizes and adjusted p-values
- Interpretation
- Questions to investigate in the context of the study
A conversation around the work EXAMPLE
Your experimental context shapes the next step.
A CLOSER LOOK
Questions about
analysis & visualization.
Are the results in the preview real?
No. The preview uses simulated data to explain the research experience. It is not evidence from a biological study.
Can an agent decide what a result means biologically?
Agents can help explore and discuss the results. Biological interpretation still depends on experimental context, supporting evidence, and the researcher’s judgment.
LET’S TALK RESEARCH
Tell us what your lab is working on.
Bring your questions, your data challenges, and where you want to go next.