ReddRadar
Topic: medical
897 skills in this topic.
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biopython
Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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nutrition-analyzer
分析营养数据、识别营养模式、评估营养状况，并提供个性化营养建议。支持与运动、睡眠、慢性病数据的关联分析。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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ukb-navigator
Semantic search across UK Biobank's 12,000+ data fields and publications — find the right variables for your research question.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-crispr-screens-screen-qc
Quality control for pooled CRISPR screens. Covers library representation, read distribution, replicate correlation, and essential gene recovery. Use when assessing screen quality before hit calling or diagnosing poor screen performance.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pysam
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-ctdna-mutation-detection
Detects somatic mutations in circulating tumor DNA using variant callers optimized for low allele fractions with UMI-based error suppression. Reliably detects mutations at VAF above 0.5 percent using consensus-based approaches. Use when identifying tumor mutations from plasma DNA or tracking specific variants.
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-data-visualization-multipanel-figures
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-outbreak-pipeline
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-workflows-multiome-pipeline
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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tumor-clonal-evolution-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-methylation-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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trialgpt-matching
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-de-visualization
Visualize differential expression results using DESeq2/edgeR built-in functions. Covers plotMA, plotDispEsts, plotCounts, plotBCV, sample distance heatmaps, and p-value histograms. Use when visualizing differential expression results.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-rna-quantification-featurecounts-counting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-sequence-statistics
Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython. Use when analyzing sequence datasets, generating QC reports, or comparing assemblies.
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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bio-sequence-properties
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-machine-learning-omics-classifiers
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-rna-quantification-tximport-workflow
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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protein-qc
Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophysical properties (instability, GRAVY, pI), (7) Ranking designs with composite scoring.
This skill provides research-backed thresholds from binder design competitions and published benchmarks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-methylation-dmr-detection
Differentially methylated region (DMR) detection using methylKit tiles, bsseq BSmooth, and DMRcate. Use when identifying contiguous genomic regions with methylation differences between experimental conditions or cell types.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009