Topic: nanoclaw
968 skills in this topic.
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bio-pdb-structure-modification
Modify protein structures using Biopython Bio.PDB. Use when transforming coordinates, removing atoms or residues, adding new entities, modifying B-factors and occupancies, or building structures programmatically.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-merip-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-chemical-compound-retrieval
Retrieves chemical compound information from PubChem and ChEMBL with disambiguation, cross-referencing, and quality assessment. Creates comprehensive compound profiles with identifiers, properties, bioactivity, and drug information. Use when users need chemical data, drug information, or mention PubChem CID, ChEMBL ID, SMILES, InChI, or compound names.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tumor-mutational-burden-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflow-management-wdl-workflows
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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clinical-trials-search
Search ClinicalTrials.gov with natural language queries. Find clinical trials, enrollment, and outcomes using Valyu semantic search.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-proteomics-protein-inference
Protein grouping and inference from peptide identifications. Use when resolving protein ambiguity from shared peptides. Handles protein groups and protein-level FDR control using parsimony and probabilistic approaches.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-metabolomics-statistical-analysis
Statistical analysis for metabolomics data. Covers univariate testing, multivariate methods (PCA, PLS-DA), and biomarker discovery. Use when identifying differentially abundant metabolites or building classification models.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-chipseq-super-enhancers
Identifies super-enhancers from H3K27ac ChIP-seq data using ROSE and related tools. Use when studying cell identity genes, cancer-associated regulatory elements, or master transcription factor binding regions that cluster into large enhancer domains.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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interpro-database
Query InterPro for protein family, domain, and functional site annotations. Integrates Pfam, PANTHER, PRINTS, SMART, SUPERFAMILY, and 11 other member databases. Use for protein function prediction, domain architecture analysis, evolutionary classification, and GO term mapping.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-microbiome-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clinical-databases-dbsnp-queries
Query dbSNP for rsID lookups, variant annotations, and cross-references to other databases. Use when mapping between rsIDs and genomic coordinates or retrieving basic variant information.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-transcriptomics-tutorials-with-omicverse
Guide users through omicverse's spatial transcriptomics tutorials covering preprocessing, deconvolution, and downstream modelling workflows across Visium, Visium HD, Stereo-seq, and Slide-seq datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pdb-structure-navigation
Navigate protein structure hierarchy using Biopython Bio.PDB SMCRA model. Use when accessing models, chains, residues, and atoms, iterating over structure levels, or extracting sequences from PDB files.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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flowio
Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clinical-databases-somatic-signatures
Extract and analyze mutational signatures from somatic variants using SigProfiler or MutationalPatterns to characterize mutagenic processes. Use when identifying DNA damage mechanisms or etiology in cancer genomes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-machine-learning-model-validation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-imaging-mass-cytometry-data-preprocessing
Load and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image normalization. Use when starting IMC analysis from raw MCD files or preparing images for segmentation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-microbiome-functional-prediction
Predict metagenome functional content from 16S rRNA marker gene data using PICRUSt2. Infer KEGG, MetaCyc, and EC abundances from ASV tables. Use when functional profiling is needed from 16S data without shotgun metagenomics sequencing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-methylation-bismark-alignment
Bisulfite sequencing read alignment using Bismark with bowtie2/hisat2. Handles genome preparation and produces BAM files with methylation information. Use when aligning WGBS, RRBS, or other bisulfite-converted sequencing reads to a reference genome.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pymc-bayesian-modeling
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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fitness-analyzer
分析运动数据、识别运动模式、评估健身进展，并提供个性化训练建议。支持与慢性病数据的关联分析。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-metabolite-communication
Analyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secretion and sensing patterns from scRNA-seq data. Use when studying metabolic crosstalk between cell populations or metabolite-receptor interactions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-spatial-multiomics
Analyze high-resolution spatial platforms like Slide-seq, Stereo-seq, and Visium HD. Use when working with subcellular resolution or high-density spatial data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009