ReddRadar
Topic: openclaw-skills
1,539 skills in this topic.
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spatial-multiomics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-multi-omics-similarity-network
Similarity Network Fusion (SNF) for patient stratification using multi-omics data. Integrates multiple data types into a unified patient similarity network. Use when performing patient stratification or integrating multi-omics data into unified similarity networks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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cytokine-storm-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-tcr-bcr-analysis-immcantation-analysis
Analyze BCR repertoires for somatic hypermutation, clonal lineages, and B cell phylogenetics using the Immcantation framework. Use when studying B cell affinity maturation, germinal center dynamics, or antibody evolution.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-systems-biology-model-curation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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nicheformer-spatial-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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opentrons-protocol-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-molecular-io
Reads, writes, and converts molecular file formats (SMILES, SDF, MOL2, PDB) using RDKit and Open Babel. Handles structure parsing, canonicalization, and full standardization pipeline including sanitization, normalization, and tautomer canonicalization. Use when loading chemical libraries, converting formats, or preparing molecules for analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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clinical-interpretation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-small-rna-seq-mirdeep2-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-splicing-qc
Assesses RNA-seq data quality for splicing analysis including junction saturation curves, splice site strength scoring, and junction coverage metrics using RSeQC. Use when evaluating data suitability for splicing analysis or troubleshooting low event detection.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-immunoinformatics-immunogenicity-scoring
Score and prioritize neoantigens and epitopes for immunogenicity using multi-factor models combining MHC binding, processing, expression, and sequence features. Rank candidates for vaccine design. Use when prioritizing epitopes for vaccine development or identifying the most immunogenic neoantigens.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-data-visualization-specialized-omics-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflow-management-nextflow-pipelines
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-comparative-genomics-synteny-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-smrna-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-hi-c-analysis-tad-detection
Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-tree-io
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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variant-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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trial-eligibility-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-metabolomics-analysis
Analyze metabolomics data including metabolite identification, quantification, pathway analysis, and metabolic flux. Processes LC-MS, GC-MS, NMR data from targeted and untargeted experiments. Performs normalization, statistical analysis, pathway enrichment, metabolite-enzyme integration, and biomarker discovery. Use when analyzing metabolomics datasets, identifying differential metabolites, studying metabolic pathways, integrating with transcriptomics/proteomics, discovering metabolic biomarkers, performing flux balance analysis, or characterizing metabolic phenotypes in disease, drug response, or physiological conditions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-multi-omics-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-spatial-domains
Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy. Cluster spots considering both expression and spatial context to define anatomical regions. Use when identifying tissue domains or spatial regions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009