Topic: nanoclaw
968 skills in this topic.
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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
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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
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bio-microbiome-qiime2-workflow
QIIME2 command-line workflow for 16S/ITS amplicon analysis. Alternative to DADA2/phyloseq R workflow with built-in provenance tracking. Use when preferring CLI over R, needing reproducible provenance, or working within QIIME2 ecosystem.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-small-rna-seq-mirdeep2-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-read-alignment-bowtie2-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-molecular-descriptors
Calculates molecular descriptors and fingerprints using RDKit. Computes Morgan fingerprints (ECFP), MACCS keys, Lipinski properties, QED drug-likeness, TPSA, and 3D conformer descriptors. Use when featurizing molecules for machine learning or filtering by drug-likeness criteria.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-small-rna-seq-smrna-preprocessing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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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
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bio-spatial-transcriptomics-spatial-data-io
Load spatial transcriptomics data from Visium, Xenium, MERFISH, Slide-seq, and other platforms using Squidpy and SpatialData. Read Space Ranger outputs, convert formats, and access spatial coordinates. Use when loading Visium, Xenium, MERFISH, or other spatial data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-spatial-domains
Identify spatial domains and tissue regions in spatial transcriptomics data using Squidpy and Scanpy. Cluster spots considering both expression and spatial context to define anatomical regions. Use when identifying tissue domains or spatial regions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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bio-data-visualization-specialized-omics-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-data-visualization-multipanel-figures
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-machine-learning-omics-classifiers
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-spatial-visualization
Visualize spatial transcriptomics data using Squidpy and Scanpy. Create tissue plots with gene expression, clusters, and annotations overlaid on histology images. Use when visualizing spatial expression patterns.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-splicing-qc
Assesses RNA-seq data quality for splicing analysis including junction saturation curves, splice site strength scoring, and junction coverage metrics using RSeQC. Use when evaluating data suitability for splicing analysis or troubleshooting low event detection.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-structural-biology-modern-structure-prediction
Predict protein structures using modern ML models including AlphaFold3, ESMFold, Chai-1, and Boltz-1. Use when predicting structures for novel proteins, protein complexes, or when comparing predictions across multiple methods.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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bio-phylo-tree-io
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-tcr-bcr-analysis-repertoire-visualization
Create publication-quality visualizations of immune repertoire data including circos plots, clone tracking, diversity plots, and network graphs. Use when generating figures for repertoire comparisons, clonal dynamics, or V(D)J gene usage.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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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
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bio-uniprot-access
FreedomIntelligence/OpenClaw-Medical-Skills 2,009