ReddRadar
Topic: openclaw
3,425 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-data-visualization-ggplot2-fundamentals
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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bio-clip-seq-clip-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-codon-usage
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-comparative-genomics-hgt-detection
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-alignment-sorting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-atac-seq-atac-qc
Quality control metrics for ATAC-seq data including fragment size distribution, TSS enrichment, FRiP, and library complexity. Use when assessing ATAC-seq library quality before or after peak calling to identify problematic samples.
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-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
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bio-entrez-search
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-epidemiological-genomics-amr-surveillance
Detect and track antimicrobial resistance genes using AMRFinderPlus and ResFinder with epidemiological context. Monitor resistance trends and identify emerging resistance patterns. Use when screening genomes for AMR genes or tracking resistance in surveillance programs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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bio-causal-genomics-colocalization-analysis
Test whether two traits share a causal variant at a genomic locus using Bayesian colocalization with coloc. Computes posterior probabilities for shared vs distinct causal variants between GWAS and eQTL signals. Use when determining if a GWAS signal and an eQTL share the same causal variant.
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-clinical-databases-hla-typing
Call HLA alleles from NGS data using OptiType, HLA-HD, or arcasHLA for immunogenomics applications. Use when determining HLA genotype for transplant matching, neoantigen prediction, or pharmacogenomic screening.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-crispr-screens-hit-calling
Statistical methods for calling hits in CRISPR screens. Covers MAGeCK, BAGEL2, drugZ, and custom approaches for identifying essential and resistance genes. Use when identifying significant genes from screen count data after QC passes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clinical-databases-polygenic-risk
Calculate polygenic risk scores using PRSice-2, LDpred2, or PRS-CS from GWAS summary statistics. Use when predicting disease risk from genome-wide genetic variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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agentd-drug-discovery
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-immunoinformatics-tcr-epitope-binding
Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition. Match TCRs to their cognate epitopes or predict TCR targets. Use when analyzing TCR repertoire specificity or identifying antigen-reactive T-cells.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-data-visualization-genome-tracks
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