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Topic: nanoclaw

968 skills in this topic.

bio-workflows-methylation-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-genome-assembly-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-cytometry-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-atacseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflow-management-nextflow-pipelines
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-variant-calling-structural-variant-calling Call structural variants (SVs) from short-read sequencing using Manta, Delly, and LUMPY. Detects deletions, insertions, inversions, duplications, and translocations that are too large for standard SNV callers. Use when detecting structural variants from short-read data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
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-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
bio-small-rna-seq-mirdeep2-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-alignment-bowtie2-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-small-rna-seq-smrna-preprocessing
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-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-data-visualization-multipanel-figures
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
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
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
bio-machine-learning-omics-classifiers
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-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
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-data-visualization-specialized-omics-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009