ArticlePatterns (New York, N.Y.)2026
BioMaster: Multi-agent system for automated bioinformatics analysis workflow.
Article in Patterns (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- BioMaster: Multi-agent system for automated bioinformatics analysis workflow.Patterns (New York, N.Y.) · 2026Article
- A scoping review of approaches to evaluating workflow management systems for bioinformatics users.Briefings in bioinformatics · 2026Article
- Benchmarking and behavioral characterization of LLM agents for protein design.bioRxiv : the preprint server for biology · 2026Article
- Evaluating open LLMs for agentic analysis orchestration in a typical biomedical lab.bioRxiv : the preprint server for biology · 2026Article
- A Review of Multi-Agent AI Systems for Biological and Clinical Data Analysis.Methods and protocols · 2026Review
- BioAgents: Bridging the gap in bioinformatics analysis with multi-agent systems.Scientific reports · 2025Article
- The rise and potential opportunities of large language model agents in bioinformatics and biomedicine.Briefings in bioinformatics · 2025Review
- Streamline automated biomedical discoveries with agentic bioinformatics.Briefings in bioinformatics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The growing volume and complexity of biological data have made bioinformatics workflows increasingly labor-intensive, error-prone, and difficult to scale. Large language model-based agents offer potential for automation but often fail in complex, multi-step analyses because of limited robustness. We present BioMaster, a multi-agent framework that integrates workflow planning, execution, error recovery, and output validation. BioMaster incorporates a dual retrieval-augmented design to leverage domain knowledge for tool selection, parameterization, and adaptation across tasks. A dedicated debug agent supports real-time error detection and correction, while memory optimization enables long, multi-stage workflows. In benchmarking across 49 bioinformatics tasks spanning 102 tools, BioMaster completed substantially more workflows than did existing automated systems, particularly in complex, interdependent pipelines. BioMaster supports both proprietary and open-source language models, enabling flexible deployment across different computational settings.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.