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Topic: skills

17,247 skills in this topic.

spatial-visualization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
protac-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-deconvolution
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-ctdna-mutation-detection Detects somatic mutations in circulating tumor DNA using variant callers optimized for low allele fractions with UMI-based error suppression. Reliably detects mutations at VAF above 0.5 percent using consensus-based approaches. Use when identifying tumor mutations from plasma DNA or tracking specific variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epitranscriptomics-m6a-peak-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-experimental-design-sample-size
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metagenomics-amr-detection Detect antimicrobial resistance genes using AMRFinderPlus, ResFinder, and CARD. Screen isolates and metagenomes for resistance determinants. Use when characterizing resistance profiles in clinical isolates, surveillance samples, or metagenomic data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-omics-classifiers
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-peak-annotation Annotate ChIP-seq peaks to genomic features and genes using ChIPseeker. Assign peaks to promoters, exons, introns, and intergenic regions. Find nearest genes and calculate distance to TSS. Generate annotation plots and statistics. Use when annotating ChIP-seq peaks to genomic features.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-intervals-bed-file-basics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-hi-c-analysis-tad-detection Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-hi-c-analysis-compartment-analysis Detect A/B compartments from Hi-C data using cooltools and eigenvector decomposition. Identify active (A) and inactive (B) chromatin compartments from contact matrices. Use when identifying A/B compartments from Hi-C data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-comparative-genomics-synteny-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-multipanel-figures
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-atac-seq-differential-accessibility Find differentially accessible chromatin regions between conditions using DiffBind or DESeq2. Use when comparing chromatin accessibility between treatment groups, cell types, or developmental stages in ATAC-seq experiments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-immunoinformatics-immunogenicity-scoring Score and prioritize neoantigens and epitopes for immunogenicity using multi-factor models combining MHC binding, processing, expression, and sequence features. Rank candidates for vaccine design. Use when prioritizing epitopes for vaccine development or identifying the most immunogenic neoantigens.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-screen-qc Quality control for pooled CRISPR screens. Covers library representation, read distribution, replicate correlation, and essential gene recovery. Use when assessing screen quality before hit calling or diagnosing poor screen performance.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-specialized-omics-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
anndata This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-format-conversion Convert between sequence file formats (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when changing file formats or preparing data for different tools.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-batch-processing Process multiple sequence files in batch using Biopython. Use when working with many files, merging/splitting sequences, or automating file operations across directories.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-gnomad-frequencies Query gnomAD for population allele frequencies to assess variant rarity. Use when filtering variants by population frequency for rare disease analysis or determining if a variant is common in the general population.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-isoform-switching Analyzes isoform switching events and functional consequences using IsoformSwitchAnalyzeR. Predicts protein domain changes, NMD sensitivity, ORF alterations, and coding potential shifts between conditions. Use when investigating how splicing changes affect protein function.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009