BaseCamp --- An Agentic AI Framework for Automating DNA Sequencing Data Pipelines
arXiv cs.AIen
arXiv:2609.28557v1 Announce Type: new Abstract: DNA sequencing pipelines, spanning quality control, alignment, variant calling, and annotation, are now reliably executed by workflow management systems that orchestrate established bioinformatics tools at scale. What remains manual is the decision layer surrounding that execution: selecting quality thresholds appropriate to a sample and platform, adjudicating borderline variant calls, diagnosing anomalies, and determining which findings warrant expert review. These decisions are repetitive, judgment-intensive, inconsistent across operators, and frequently undocumented. This paper introduces BaseCamp, a novel agentic AI framework for automating
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Verktyg
- Forskning
- Agenter
Related AI news
- "One small step for TPUs": Google CEO Sundar Pichai announces Project Suncatcher to test AI compute in SpaceEconomic Times Tech · September 25, 2026
- PAWS: Policy-driven Agentic World SimulationarXiv cs.AI · September 25, 2026
- Functional Architecture of European Electricity Trading Markets: Requirements for AI Supported Trading Systems under Regulatory ConstraintsarXiv cs.AI · September 25, 2026
- AI-satsningar hindrar viktiga moderniseringsprojektComputer Sweden · September 25, 2026
- When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability RoutingarXiv cs.AI · September 25, 2026
- TW3Cast: A Frozen Router of Lightly Fine-Tuned Foundation Models for Time-Series Forecasting on GIFT-Eval, Selected Entirely on the Training SplitarXiv cs.AI · September 25, 2026