Topic: openclaw
3,425 skills in this topic.
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bio-workflows-longread-sv-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-chipseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-chipseq-qc
ChIP-seq quality control metrics including FRiP (Fraction of Reads in Peaks), cross-correlation analysis (NSC/RSC), library complexity, and IDR (Irreproducibility Discovery Rate) for replicate concordance. Use to assess experiment quality before downstream analysis. Use when assessing ChIP-seq data quality metrics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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cell-free-expression
Guidance for cell-free protein synthesis (CFPS) optimization. Use when: (1) Planning CFPS experiments, (2) Troubleshooting low yield or aggregation, (3) Optimizing DNA template design for CFPS, (4) Expressing difficult proteins (disulfide-rich, toxic, membrane).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-spatial-transcriptomics
Analyze spatial transcriptomics data to map gene expression in tissue architecture. Supports 10x Visium, MERFISH, seqFISH, Slide-seq, and imaging-based platforms. Performs spatial clustering, domain identification, cell-cell proximity analysis, spatial gene expression patterns, tissue architecture mapping, and integration with single-cell data. Use when analyzing spatial transcriptomics datasets, studying tissue organization, identifying spatial expression patterns, mapping cell-cell interactions in tissue context, characterizing tumor microenvironment spatial structure, or integrating spatial and single-cell RNA-seq data for comprehensive tissue analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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family-health-analyzer
分析家族病史、评估遗传风险、识别家庭健康模式、提供个性化预防建议
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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deep-visual-proteomics-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clip-seq-clip-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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scikit-survival
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-variant-analysis
Production-ready VCF processing, variant annotation, mutation analysis, and structural variant (SV/CNV) interpretation for bioinformatics questions. Parses VCF files (streaming, large files), classifies mutation types (missense, nonsense, synonymous, frameshift, splice, intronic, intergenic) and structural variants (deletions, duplications, inversions, translocations), applies VAF/depth/quality/consequence filters, annotates with ClinVar/dbSNP/gnomAD/CADD via ToolUniverse, interprets SV/CNV clinical significance using ClinGen dosage sensitivity scores, computes variant statistics, and generates reports. Solves questions like "What fraction of variants with VAF < 0.3 are missense?", "How many non-reference variants remain after filtering intronic/intergenic?", "What is the pathogenicity of this deletion affecting BRCA1?", or "Which dosage-sensitive genes overlap this CNV?". Use when processing VCF files, annotating variants, filtering by VAF/depth/consequence, classifying mutations, interpreting structural variants, assessing CNV pathogenicity, comparing cohorts, or answering variant analysis questions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-splicing
Analyzes alternative splicing at single-cell resolution using BRIE2 for probabilistic PSI estimation or leafcutter2 for cluster-based analysis with NMD detection. Identifies cell-type-specific splicing patterns. Use when analyzing isoform usage in scRNA-seq or finding splicing differences between cell populations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bulk-rna-seq-deconvolution-with-bulk2single
Turn bulk RNA-seq cohorts into synthetic single-cell datasets using omicverse's Bulk2Single workflow for cell fraction estimation, beta-VAE generation, and quality control comparisons against reference scRNA-seq.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-sequence-slicing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-sra-data
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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biomedical-search
Complete biomedical information search combining PubMed, preprints, clinical trials, and FDA drug labels. Powered by Valyu semantic search.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-preprocessing
Quality control, filtering, and normalization for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for calculating QC metrics, filtering cells and genes, normalizing counts, identifying highly variable genes, and scaling data. Use when filtering, normalizing, and selecting features in single-cell data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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plotly
Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-ribo-seq-translation-efficiency
Calculate translation efficiency (TE) as the ratio of ribosome occupancy to mRNA abundance. Use when comparing translational regulation between conditions or identifying genes with altered translation independent of transcription.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-causal-genomics-fine-mapping
Identify likely causal variants within GWAS loci using SuSiE for sum of single effects regression and FINEMAP for shotgun stochastic search. Computes posterior inclusion probabilities and credible sets to prioritize variants for functional follow-up. Use when narrowing GWAS association signals to candidate causal variants or building credible sets for functional validation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-substructure-search
Searches molecular libraries for substructure matches using SMARTS patterns with RDKit. Filters compounds by pharmacophore features, functional groups, or scaffold matches with atom mapping. Use when finding compounds containing specific chemical moieties or filtering libraries by structural features.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-causal-genomics-pleiotropy-detection
Detect and correct for horizontal pleiotropy in Mendelian randomization analyses using MR-PRESSO for outlier removal, MR-Egger regression for directional pleiotropy, and Steiger filtering for variant directionality. Use when validating MR results, detecting pleiotropic instruments, or running sensitivity analyses for causal inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-engineering-grna-design
Design guide RNAs for CRISPR-Cas9/Cas12a experiments using CRISPRscan and local scoring algorithms. Score guides for on-target activity using Rule Set 2 and Azimuth models. Use when designing sgRNAs for gene knockout, activation, or repression experiments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-immunoinformatics-mhc-binding-prediction
Predict peptide-MHC class I and II binding affinity using MHCflurry and NetMHCpan neural network models. Identify potential T-cell epitopes from protein sequences. Use when predicting MHC binding for vaccine design or neoantigen identification.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009