Seqera AI: The Bioinformatics Agent Built for the R&D Lifecycle
Generate, validate, and execute production-ready Nextflow pipelines on your infrastructure, all in a single conversation.
Interactively explore, debug, and generate entire Nextflow pipelines from scratch following nf-core best practices. Load public examples or connect your own pipeline via a GitHub URL. Seqera AI gives you instant, contextual understanding of your workflow.
AI for Bioinformatics from the Creators of Nextflow
Accelerate every stage of your research lifecycle with AI that understands bioinformatics context, generates production-ready code, and executes seamlessly—all through natural language conversation.
From initial questions to final analysis, Seqera AI bridges the gap between scientific objectives and data analysis, bringing unprecedented speed and accessibility to your entire research operation, regardless of technical expertise.
Intelligent Pipeline Development
Generate, validate, and optimize Nextflow pipelines with AI that has deep bioinformatics and nf-core expertise.
AI-Powered IDE Integration
Develop pipelines directly in VS Code with the GitHub Copilot integration, with automated nf-test generation and intelligent container provisioning.
Seamlessly Execute Pipelines in Platform
Launch pipelines from chat, modify parameters, and debug failed runs with full access to your Platform environments and execution history.
Smart Dataset Discovery
Find relevant public datasets through SRA search and automatically match data to appropriate pipelines for your experiments.
Interactive Results Analysis
Analyze MultiQC reports, interpret scientific results, and explore data structures through AI that understands experimental context.
Transform Your Research Productivity
See How Seqera AI Can Improve Your Day-to-Day Work
Streamline the entire R&D lifecycle with AI that understands bioinformatics, eliminates tool fragmentation, and accelerates the path from experimental data to actionable insights.
Download for VS Code
Full IDE integration with GitHub Copilot, automated nf-test generation, container provisioning, and visual pipeline navigation.
Interactive Pipeline Building
Explore and generate pipelines interactively by loading from GitHub URLs or public examples with contextual understanding of workflow structure.
Built-in Nextflow Expertise
Purpose-built understanding of Nextflow DSL2, nf-core standards, and bioinformatics best practices, ensuring code quality and reproducibility.
Convert Code to Nextflow
Transform bash, CWL, and WDL scripts into production-ready DSL2 Nextflow pipelines with high accuracy and best practices.
Direct Platform Control
Debug failed runs, modify parameters, launch pipelines, and browse S3 structures directly through AI chat with full Platform integration.
Smart Resource Optimization
Analyze run history to identify bottlenecks, suggest optimal resource settings, and auto-configure pipelines based on past performance.
Chat-to-Execution
Execute any Launchpad pipeline directly from chat without switching interfaces, with automatic configuration and execution handling.
Dataset Discovery
Discover relevant public datasets through natural language queries without leaving the interface, perfect for experiment planning and benchmarking.
Results Interpretation
Generate intelligent AI summaries of MultiQC analysis results with interactive chat capabilities for deeper exploration of experimental outcomes.