EpistaBase documentation
Learn how to use EpistaBase to organize biological work, analyze instrument files, and trace results back to raw data.
EpistaBase is a biological data platform for wet-lab teams. It gives each project a place for protocols, runs, samples, files, analyses, figures, and reports so the path from raw instrument output to scientific conclusion stays visible.
This guide is written for scientists first. It assumes you know your assay and your instrument files; it does not assume you want to read infrastructure diagrams before getting a result.
Start with the platform
Understand the main surfaces and follow the first-session path.
Open the trametinib demo
Use the seeded multimodal demo to inspect Flow, analysis, figures, and provenance.
Use Flow
Open a saved flow workspace, inspect gates, and read population statistics.
Trace lineage
Understand how figures remember the data and analysis that produced them.
Use the SDK & CLI
Install `epistabase`, sign in, query workspace data from Python or the terminal, and publish outputs.
Admin basics
Find workspace settings, access roles, and usage/billing surfaces.
The core idea
EpistaBase organizes work around the way experiments are actually run:
Workspace
Project
Experiment
Run
Sample
Data entry
Raw file
Parsed assets
Analysis
Figure or reportThe important user-facing promise is simple: when a figure or table matters, you can trace it back through the analysis, the data entries, and the original files that produced it.
What to read first
If you are new, read Getting started, then follow the trametinib demo walkthrough.
If you already have data in the app, jump to Uploading and managing data or the relevant app guide under Apps.