Visualize single-cell developmental trajectories (pseudotime) to show how cells differentiate from stem cells to mature cells. Includes trajectory inference, pseudotime calculation, and publication-ready visualizations.

Predict depletion time of critical lab reagents based on experimental usage frequency and automatically generate purchase alerts for laboratory inventory management.

Automatically assemble 6 sub-figures (A-F) into a high-resolution composite figure with aligned edges, unified fonts, and labels.

Generate R/Python code for volcano plots from DEG (Differentially Expressed Genes) analysis results. Triggered when user needs visualization of gene expression data, p-value vs fold-change scatter plots, publication-ready figures for bioinformatics analysis.

Simulates NIH study section peer review for grant proposals. Triggers when user wants mock review, critique, or evaluation of a grant proposal before submission. Generates structured critique using official NIH scoring rubric (1-9 scale), identifies weaknesses, provides actionable revision recommendations, and produces a comprehensive review summary similar to actual NIH Summary Statement.

Generate hospital discharge summaries from admission data, hospital course, medications, and follow-up plans. Trigger when user needs to create a discharge summary, compile inpatient medical records, or generate post-hospitalization documentation for patients.

Trigger when user needs to align DNA/protein sequences, compare biological sequences, search for similar sequences in databases, or perform BLAST-based similarity analysis. Use for bioinformatics sequence comparison tasks.

Use when creating forest plots for meta-analyses, visualizing effect sizes across studies, or generating publication-ready meta-analysis figures. Produces high-quality forest plots with confidence intervals, heterogeneity metrics, and subgroup analyses.

Create project timeline visualizations for grant proposals

Convert complex Venn diagrams with more than 4 sets to clearer Upset plots

Design CRISPR gRNA sequences for specific gene exons with off-target prediction and efficiency scoring. Trigger when user needs gRNA design, CRISPR guide RNA selection, or genome editing target analysis.

Interpret Alpha and Beta diversity metrics from 16S rRNA sequencing results and generate visualization reports for microbiome analysis.

Visualize gene exon-intron structure

Design clinical trial CRFs with proper validation rules

Predict which early-stage biotechnology platforms (PROTAC, mRNA, gene editing, etc.) have the highest potential to become blockbuster therapies. Analyzes clinical trial progression, patent landscape maturity, and venture capital funding trends to generate investment and R&D prioritization scores. Trigger when: User asks about technology investment potential, platform selection, or therapeutic modality comparison.

Use when analyzing FASTQC quality reports from sequencing data, identifying quality issues in NGS datasets, or troubleshooting sequencing problems. Interprets quality metrics and provides actionable recommendations for RNA-seq, DNA-seq, and ChIP-seq data.

Predict neoantigens that may be recognized by the immune system based on patient HLA typing and tumor mutation data. Trigger conditions: - User provides HLA typing results and mutation data, requesting neoantigen prediction - User inquires about tumor immunotherapy-related neoantigen prediction - Need to provide T-cell epitope prediction and immunogenicity assessment - Input: HLA alleles (HLA-A*02:01, etc.), tumor mutation data (VCF or peptide sequences) - Output: Predicted neoantigen list, HLA binding affinity, immunogenicity scores

Generate NIH Biosketch documents compliant with the 2022 OMB-approved format

Monitor and summarize competitor clinical trial status changes from ClinicalTrials.gov. Trigger: When user asks to track clinical trials, monitor trial status changes, get updates on specific trials, or analyze competitor trial activities. Use cases: Pharma competitive intelligence, trial monitoring, status tracking, recruitment updates, completion alerts.

Virtual gene knockout simulation using foundation models to predict transcriptional changes