ReddRadar
Topic: skills
17,247 skills in this topic.
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bio-chipseq-motif-analysis
De novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP. Identify transcription factor binding motifs in ChIP-seq, ATAC-seq, or other genomic peak data. Use when finding enriched DNA motifs in peak sequences.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-assembly-assembly-polishing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-engineering-base-editing-design
Design guides for cytosine and adenine base editing using editing window optimization and BE-Hive outcome prediction. Select optimal positions for C-to-T or A-to-G conversions without double-strand breaks. Use when designing base editor experiments for precise nucleotide changes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-epidemiological-genomics-variant-surveillance
Assign pathogen lineages and track variants using Nextclade and pangolin for viral surveillance. Monitor variant prevalence and identify emerging variants of concern. Use when classifying viral sequences, tracking lineage dynamics, or monitoring for variants of concern.
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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bio-workflows-metagenomics-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-alignment-sorting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-doublet-detection
Detect and remove doublets (multiple cells captured in one droplet) from single-cell RNA-seq data. Uses Scrublet (Python), DoubletFinder (R), and scDblFinder (R). Essential QC step before clustering to avoid artificial cell populations. Use when identifying and removing doublets from scRNA-seq data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-entrez-search
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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biomni-general-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-crispr-screens-batch-correction
Batch effect correction for CRISPR screens. Covers normalization across batches, technical replicate handling, and batch-aware analysis. Use when combining screens from multiple batches or correcting systematic technical variation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-experimental-design-batch-design
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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boltz
Structure prediction using Boltz-1/Boltz-2, an open biomolecular structure predictor. Use this skill when: (1) Predicting protein complex structures, (2) Validating designed binders, (3) Need open-source alternative to AF2, (4) Predicting protein-ligand complexes, (5) Using local GPU resources.
For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For Chai prediction, use chai.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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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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bio-read-alignment-star-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-codon-usage
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-geo-data
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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bio-methylation-calling
Extract methylation calls from Bismark BAM files using bismark_methylation_extractor. Generates per-cytosine reports for CpG, CHG, and CHH contexts. Use when extracting methylation levels from aligned bisulfite sequencing data for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-longitudinal-monitoring
Tracks ctDNA dynamics over time for treatment response monitoring using serial liquid biopsy samples. Analyzes tumor fraction trends, mutation clearance kinetics, and defines molecular response criteria. Use when monitoring patients during therapy or detecting molecular relapse before clinical progression.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-fastq-to-variants
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-long-read-sequencing-clair3-variants
Deep learning-based variant calling from long reads using Clair3 for SNPs and small indels. Use when calling germline variants from ONT or PacBio alignments, particularly when high accuracy is needed for clinical or research applications.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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