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Topic: nanoclaw

968 skills in this topic.

bulk-rna-seq-deseq2-analysis-with-omicverse Walk Claude through PyDESeq2-based differential expression, including ID mapping, DE testing, fold-change thresholding, and enrichment visualisation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
time-resolved-cryoem-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-long-read-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-consensus-sequences Generate consensus FASTA sequences by applying VCF variants to a reference using bcftools consensus. Use when creating sample-specific reference sequences or reconstructing haplotypes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-assembly-polishing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cellular-senescence-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-gwas-finemapping Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions. Computes posterior probabilities for causal variants, links variants to genes via L2G predictions, annotates functional consequences, and suggests validation strategies. Use when asked to fine-map GWAS loci, prioritize causal variants, identify credible sets, or link GWAS signals to causal genes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-infectious-disease Rapid pathogen characterization and drug repurposing analysis for infectious disease outbreaks. Identifies pathogen taxonomy, essential proteins, predicts structures, and screens existing drugs via docking. Use when facing novel pathogens, emerging infections, or needing rapid therapeutic options during outbreaks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bioservices Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-spatial-transcriptomics-spatial-neighbors Build spatial neighbor graphs for spatial transcriptomics data using Squidpy. Compute k-nearest neighbors, Delaunay triangulation, and radius-based connectivity for downstream spatial analyses. Use when building spatial neighborhood graphs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-copy-number-cnv-annotation Annotate CNVs with genes, pathways, and clinical significance. Use when interpreting CNV calls or identifying affected genes from copy number analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-protein-therapeutic-design Design novel protein therapeutics (binders, enzymes, scaffolds) using AI-guided de novo design. Uses RFdiffusion for backbone generation, ProteinMPNN for sequence design, ESMFold/AlphaFold2 for validation. Use when asked to design protein binders, therapeutic proteins, or engineer protein function.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-sequence-retrieval Retrieves biological sequences (DNA, RNA, protein) from NCBI and ENA with gene disambiguation, accession type handling, and comprehensive sequence profiles. Creates detailed reports with sequence metadata, cross-database references, and download options. Use when users need nucleotide sequences, protein sequences, genome data, or mention GenBank, RefSeq, EMBL accessions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-flow-cytometry-bead-normalization Bead-based normalization for CyTOF and high-parameter flow cytometry. Covers EQ bead normalization, signal drift correction, and batch normalization. Use when correcting instrument drift in CyTOF or harmonizing data across batches.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-statistical-modeling Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-variant-interpretation Systematic clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Aggregates evidence from ClinVar, gnomAD, CIViC, UniProt, and PDB across ACMG criteria. Produces pathogenicity scores (0-100), clinical recommendations, and treatment implications. Use when interpreting genetic variants, classifying variants of uncertain significance (VUS), performing ACMG variant classification, or translating variant calls to clinical actionability.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
biomni-general-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
torchdrug Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-expression-matrix-gene-id-mapping
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
transformers This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-base-editing-analysis Analyzes base editing and prime editing outcomes including editing efficiency, bystander edits, and indel frequencies. Use when quantifying CRISPR base editor results, comparing ABE vs CBE efficiency, or assessing prime editing fidelity.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-spatial-transcriptomics-spatial-statistics Compute spatial statistics for spatial transcriptomics data using Squidpy. Calculate Moran's I, Geary's C, spatial autocorrelation, co-occurrence analysis, and neighborhood enrichment. Use when computing spatial autocorrelation or co-occurrence statistics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-systems-biology-model-curation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-fastq-to-variants
FreedomIntelligence/OpenClaw-Medical-Skills 2,009