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Data & AI

Use NCS-related or symmetry-related molecules as a reference when building fragments. Compare sequences and use the better-built copy to guide building of others.

Data & AI

Use NCS-related or symmetry-related molecules as reference when building fragments in Coot. Compare sequences and use better-built copies to guide model rebuilding.

Data & AI

Run arbitrary scripts on KBase compute nodes via CTS. Move compute off your notebook for bioinformatics, heavy data processing, or anything requiring dedicated resources.

Data & AI

Survival analysis with lifelines: Kaplan-Meier curves, log-rank tests, and Cox regression for time-to-event modeling in biomedical data.

Data & AI

Search and analyze popular quantitative trading projects on GitHub, evaluate their features, and provide recommendations for improvement.

Data & AI

GPU-accelerated population genetics with pg_gpu: load VCF/Zarr, compute diversity stats, selection scans, FST/dxy, PCA, and windowed visualizations.

Data & AI

Provides patterns for organizing dbt models into staging, intermediate, and marts layers, along with incremental strategies and testing. Helps structure scalable dbt projects with clear separation of concerns.

Data & AI

Analyze customer value using RFM (Recency, Frequency, Monetary) segmentation. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visual reports with actionable insights.

Data & AI

Search, scrape, and interact with the web via the Firecrawl CLI. Returns clean markdown optimized for LLM context windows.

Data & AI

Scaffold matplotlib code for publication-ready TDA figures, enforcing project style constants, color rules, and output paths.

Data & AI

Detect and analyze alpha decay in trading strategies using statistical methods. Helps identify strategies with degrading performance over time.

Data & AI

Prepares files for NotebookLM by scoring and merging sources, converting formats, and optimizing RAG retrieval within the 50-source limit.