Topic: skills
17,247 skills in this topic.
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scikit-bio
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clip-seq-clip-peak-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tiledbvcf
Efficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-variant-calling
Call SNPs and indels from aligned reads using bcftools mpileup and call. Use when detecting variants from BAM files or generating VCF from alignments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-fcs-handling
Read and manipulate Flow Cytometry Standard (FCS) files. Covers loading data, accessing parameters, and basic data exploration. Use when loading and inspecting flow or mass cytometry data before preprocessing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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string-database
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
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-metabolomics-normalization-qc
Quality control and normalization for metabolomics data. Covers QC-based correction, batch effect removal, and data transformation methods. Use when correcting technical variation in metabolomics data before statistical analysis.
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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molecule-evolution-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-metabolomics-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-proteomics-analysis
Analyze mass spectrometry proteomics data including protein quantification, differential expression, post-translational modifications (PTMs), and protein-protein interactions. Processes MaxQuant, Spectronaut, DIA-NN, and other MS platform outputs. Performs normalization, statistical analysis, pathway enrichment, and integration with transcriptomics. Use when analyzing proteomics data, comparing protein abundance between conditions, identifying PTM changes, studying protein complexes, integrating protein and RNA data, discovering protein biomarkers, or conducting quantitative proteomics experiments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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single-cell-cellphonedb-communication-mapping
Run omicverse's CellPhoneDB v5 wrapper on annotated single-cell data to infer ligand-receptor networks and produce CellChat-style visualisations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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matchms
Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-methylation-methylkit
DNA methylation analysis with methylKit in R. Import Bismark coverage files, filter by coverage, normalize samples, and perform statistical comparisons. Use when analyzing single-base methylation patterns, comparing samples, or preparing data for DMR detection.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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medrxiv-search
Search medRxiv medical preprints with natural language queries. Powered by Valyu semantic search.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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travel-health-analyzer
分析旅行健康数据、评估目的地健康风险、提供疫苗接种建议、生成多语言紧急医疗信息卡片。支持WHO/CDC数据集成的专业级旅行健康风险评估。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-vcf-manipulation
Merge, concatenate, sort, intersect, and subset VCF files using bcftools. Use when combining variant files, comparing call sets, or restructuring VCF data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-sequence-slicing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-chipseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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multimodal-medical-imaging
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-phylogenetics
Production-ready phylogenetics and sequence analysis skill for alignment processing, tree analysis, and evolutionary metrics. Computes treeness, RCV, treeness/RCV, parsimony informative sites, evolutionary rate, DVMC, tree length, alignment gap statistics, GC content, and bootstrap support using PhyKIT, Biopython, and DendroPy. Performs NJ/UPGMA/parsimony tree construction, Robinson-Foulds distance, Mann-Whitney U tests, and batch analysis across gene families. Integrates with ToolUniverse for sequence retrieval (NCBI, UniProt, Ensembl) and tree annotation. Use when processing FASTA/PHYLIP/Nexus/Newick files, computing phylogenetic metrics, comparing taxa groups, or answering questions about alignments, trees, parsimony, or molecular evolution.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pdb-database
Access RCSB PDB for 3D protein/nucleic acid structures. Search by text/sequence/structure, download coordinates (PDB/mmCIF), retrieve metadata, for structural biology and drug discovery.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-polygenic-risk-score
Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics. Calculates genetic risk profiles, interprets PRS percentiles, and assesses disease predisposition across conditions including type 2 diabetes, coronary artery disease, and Alzheimer's disease. Use when asked to calculate polygenic risk scores, interpret genetic risk for complex diseases, build custom PRS from GWAS data, or answer questions like "What is my genetic predisposition to breast cancer?"
FreedomIntelligence/OpenClaw-Medical-Skills 2,009