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Prepare IND applications. TRIGGERS - Use when user needs help with ind-application-prep related tasks.
Design clinical data management systems and processes. TRIGGERS - Use when user needs help with clinical-data-management related tasks.
Build clinical trial budgets. TRIGGERS - Use when user needs help with clinical-trial-budget related tasks.
Plan drug formulation development programs. TRIGGERS - Use when user needs help with formulation-development related tasks.
Human Phenotype Ontology skill for phenotype-driven gene prioritization
MaxQuant mass spectrometry skill for protein identification and quantification
IGV integration skill for interactive genome visualization and review
Salmon pseudo-alignment skill for fast and accurate transcript quantification
Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements
Active targeting skill for designing and validating nanoparticle targeting strategies
Use-related risk analysis skill for identifying hazards associated with user interaction per IEC 62366-1
Detect copy number variations from whole genome sequencing data and generate publication-quality genome-wide CNV plots. Supports CNV calling, segmentation, and visualization for cancer genomics and rare disease analysis.
AutoDock molecular docking skill for small molecule binding prediction and virtual screening
Predict neoantigens that may be recognized by the immune system based.
Sequencing quality control skill for assessing read quality, adapter contamination, and sequence composition
DeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection
Gene fusion detection skill for oncology applications with multiple caller integration
Build digital twin patient models to test drug efficacy and toxicity
---name: nicheformer-spatial-agent description: Foundation model-powered spatial transcriptomics analysis leveraging 53M+ spatially resolved cells for cellular architecture modeling and tissue niche discovery. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-20" compatib...
---name: prs-net-deep-learning-agent description: Geometric deep learning-based polygenic risk score prediction using PRS-Net for modeling gene interactions, enhanced disease prediction, and cross-ancestry portability. license: MIT metadata: author: AI Group version: "1.0.0" created: "2026-01-20"...
End-to-end RNA-seq workflow from FASTQ files to differential expression results. Covers QC, quantification (Salmon or STAR+featureCounts), and DESeq2 analysis with visualization. Use when running RNA-seq from FASTQ to DE results.
AI-powered analysis of T-cell exhaustion states, epigenetic scarring, stem-like T-cell populations, and checkpoint blockade response prediction in cancer immunotherapy.
AI-powered analysis of cellular senescence for aging research, cancer therapy response, and senolytic drug development.
Write a structured clinical case summary or case presentation. Use when asked to write a clinical case summary, case presentation, patient case report, or clinical handover. Produces a structured summary using SBAR or SOAP format. For educational and documentation purposes only — not a substitute...
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