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Agent skill

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Differential gene expression analysis for bulk RNA-seq count matrices using a DESeq2-like workflow in Python; use when you need Wald tests, FDR correction, and optional LFC shrinkage for condition/batch/covariate designs.

OpenClawData & Analytics
aipoch1,124
Agent skill

Repertoire Visualization

Create publication-quality visualizations of immune repertoire data including circos plots, clone tracking, diversity plots, and network graphs. Use when generating figures for repertoire comparisons, clonal dynamics, or V(D)J gene usage.

ClaudeCodexOpenClawData & Analytics
GPTomics898
Agent skill

matplotlib Fundamentals

Build publication-quality figures with matplotlib using the object-oriented Figure/Axes API, constrained_layout, rcParams customization, TrueType (Type-42) font embedding for journal submission, and CVD-safe palettes. Covers seaborn integration, common chart types, axis formatting, and the small ...

ClaudeCodexOpenClawData & Analytics
GPTomics898
Agent skill

Heatmaps and Hierarchical Clustering

Build clustered heatmaps for expression matrices and other features-by-samples data with rigorous distance/linkage/scaling choices, robust color mapping, optimal leaf ordering, and ComplexHeatmap/pheatmap/seaborn rendering. Covers the ward.D vs ward.D2 trap, the row-vs-column scaling decision, mu...

ClaudeCodexOpenClawData & Analytics
GPTomics898
Agent skill

Metabolic Modeling Pipeline

End-to-end genome-scale metabolic modeling from genome sequence to flux predictions. Covers automated reconstruction with CarveMe, model validation with memote, FBA/FVA analysis, and gene essentiality prediction. Use when building metabolic models or predicting metabolic phenotypes from genomic d...

ClaudeCodexOpenClawData & Analytics
GPTomics898
Agent skill

Count Matrix QC

Quality control and exploration of RNA-seq count matrices before differential expression. Check for outliers, batch effects, and sample relationships. Use when assessing count matrix quality before DE analysis.

ClaudeCodexOpenClawData & Analytics
GPTomics898
Agent skill

Statistical Significance Annotation on Plots

Guide for annotating statistical significance (p-value asterisks) on comparison plots. Covers standard notation (ns, *, **, ***, ****), matplotlib bracket+asterisk implementation, and use with seaborn box/violin/bar plots. Use when preparing publication-ready figures with significance markers.

ClaudeCodexCursorData & Analytics
jaechang-hits199

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