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Topic: openclaw

3,425 skills in this topic.

bio-sam-bam-basics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-sashimi-plots Creates sashimi plots showing RNA-seq read coverage and splice junction counts using ggsashimi or rmats2sashimiplot. Visualizes differential splicing events with grouped samples and junction read support. Use when visualizing specific splicing events or validating differential splicing results.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-seq-objects
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-data-io Read, write, and create single-cell data objects using Seurat (R) and Scanpy (Python). Use for loading 10X Genomics data, importing/exporting h5ad and RDS files, creating Seurat objects and AnnData objects, and converting between formats. Use when loading, saving, or converting single-cell data formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-restriction-enzyme-selection
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-restriction-sites
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-ribo-seq-riboseq-preprocessing Preprocess ribosome profiling data including adapter trimming, size selection, rRNA removal, and alignment. Use when preparing Ribo-seq reads for downstream analysis of translation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-small-rna-seq-mirge3-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-spatial-transcriptomics-spatial-communication Analyze cell-cell communication in spatial transcriptomics data using ligand-receptor analysis with Squidpy. Infer intercellular signaling, identify communication pathways, and visualize interaction networks. Use when analyzing cell-cell communication in spatial context.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-spatial-transcriptomics-spatial-deconvolution Estimate cell type composition in spatial transcriptomics spots using reference-based deconvolution. Use cell2location, RCTD, SPOTlight, or Tangram to infer cell type proportions from scRNA-seq references. Use when estimating cell type composition in spatial spots.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-phasing-imputation-genotype-imputation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-population-genetics-selection-statistics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-proteomics-differential-abundance Statistical testing for differentially abundant proteins between conditions. Covers limma and MSstats workflows with multiple testing correction. Use when identifying proteins with significant abundance changes between experimental groups.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-proteomics-proteomics-qc Quality control and assessment for proteomics data. Use when evaluating proteomics data quality before downstream analysis. Covers sample metrics, missing value patterns, replicate correlation, batch effects, and intensity distributions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-proteomics-quantification Protein quantification from mass spectrometry data including label-free (LFQ, intensity-based), isobaric labeling (TMT, iTRAQ), and metabolic labeling (SILAC) approaches. Use when extracting protein abundances from MS data for differential analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-alignment-bwa-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-reporting-automated-qc-reports
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metagenomics-strain-tracking Track bacterial strains using MASH, sourmash, fastANI, and inStrain. Compare genomes, detect contamination, and monitor strain-level variation. Use when needing sub-species resolution for outbreak tracking, transmission analysis, or within-host strain dynamics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-methylation-based-detection Analyzes cfDNA methylation patterns for cancer detection using cfMeDIP-seq or bisulfite sequencing with MethylDackel. Identifies cancer-specific methylation signatures and performs tissue-of-origin deconvolution. Use when using methylation biomarkers for early cancer detection or minimal residual disease.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-scatac-analysis Single-cell ATAC-seq analysis with Signac (R/Seurat) and ArchR. Process 10X Genomics scATAC data, perform QC, dimensionality reduction, clustering, peak calling, and motif activity scoring with chromVAR. Use when analyzing single-cell ATAC-seq data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-tcr-bcr-analysis-mixcr-analysis Perform V(D)J alignment and clonotype assembly from TCR-seq or BCR-seq data using MiXCR. Use when processing raw immune repertoire sequencing data to identify clonotypes and their frequencies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-cnv-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-gwas-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-variant-calling-deepvariant Deep learning-based variant calling with Google DeepVariant. Provides high accuracy for germline SNPs and indels from Illumina, PacBio, and ONT data. Use when calling variants with DeepVariant deep learning caller.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009