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Topic: openclaw

3,425 skills in this topic.

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-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-proteomics-data-import Load and parse mass spectrometry data formats including mzML, mzXML, and quantification tool outputs like MaxQuant proteinGroups.txt. Use when starting a proteomics analysis with raw or processed MS data. Handles contaminant filtering and missing value assessment.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-omics-classifiers
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-molecular-io Reads, writes, and converts molecular file formats (SMILES, SDF, MOL2, PDB) using RDKit and Open Babel. Handles structure parsing, canonicalization, and full standardization pipeline including sanitization, normalization, and tautomer canonicalization. Use when loading chemical libraries, converting formats, or preparing molecules for analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-comparative-genomics-synteny-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epitranscriptomics-m6a-peak-calling
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-de-visualization Visualize differential expression results using DESeq2/edgeR built-in functions. Covers plotMA, plotDispEsts, plotCounts, plotBCV, sample distance heatmaps, and p-value histograms. Use when visualizing differential expression results.
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-methylation-dmr-detection Differentially methylated region (DMR) detection using methylKit tiles, bsseq BSmooth, and DMRcate. Use when identifying contiguous genomic regions with methylation differences between experimental conditions or cell types.
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-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
bio-genome-intervals-bed-file-basics
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-read-alignment-bowtie2-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-adapter-trimming Remove sequencing adapters from FASTQ files using Cutadapt and Trimmomatic. Supports single-end and paired-end reads, Illumina TruSeq, Nextera, and custom adapter sequences. Use when FastQC shows adapter contamination or before alignment of short reads.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-fastp-workflow All-in-one read preprocessing with fastp including adapter trimming, quality filtering, deduplication, base correction, and HTML report generation. Use when preprocessing Illumina data and wanting a single fast tool instead of separate Cutadapt, Trimmomatic, and FastQC steps.
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-reporting-rmarkdown-reports
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-multipanel-figures
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-specialized-omics-plots
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