Introduction

Welcome to Bioinformatics Studio — a visual workflow orchestrator with agentic AI for interactive genomic analysis.

What is Bioinformatics Studio?

Bioinformatics Studio occupies the space between rigid batch pipelines and unstructured notebooks. It combines a visual DAG canvas with inline multi-language execution, automatic data transfer between nodes, and live output streaming — lowering the barrier to testing hypotheses while preserving the reproducibility advantages of explicit workflow graphs.

Key Features

• Visual DAG Canvas — Build pipelines as directed acyclic graphs. Nodes execute in dependency order, with outputs automatically flowing to downstream nodes.
• Multi-Language Execution — Write Python, R, and Bash side-by-side within the same workflow. Each node streams output in real time, appearing live node-by-node rather than only after the entire DAG resolves.
• Session Persistence — Each workflow is saved as a .flow JSON file capturing node code, edge topology, parameter values, and per-node execution metadata. Downstream nodes access upstream results without re-execution, and state is recoverable after restart.
• Bioinformatics Hub — Browse, save, share, and launch pipeline templates. A unified package manager abstracts over conda, apt, Homebrew, and R/CRAN/Bioconductor behind a single interface.
• Agentic AI — Describe an analysis in natural language and the AI agent scaffolds the workflow on the canvas — creating nodes, writing code, and connecting inputs to outputs automatically.
• Integrated Visualization — Built-in support for plots, Hi-C contact maps via an integrated HiGlass tile server, and rich HTML output rendering.

Get Started

Ready to dive in? Head to Download to get Bioinformatics Studio, or check out the Tutorials to learn how to build your first workflow.