Topic: openclaw
3,425 skills in this topic.
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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-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
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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-single-cell-cell-communication
Infer cell-cell communication networks from scRNA-seq data using CellChat, NicheNet, and LIANA for ligand-receptor interaction analysis. Use when inferring ligand-receptor interactions between cell types.
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-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
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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-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
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bio-genome-intervals-bed-file-basics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-rna-quantification-featurecounts-counting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-rna-quantification-tximport-workflow
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-sequence-statistics
Calculate sequence statistics (N50, length distribution, GC content, summary reports) using Biopython. Use when analyzing sequence datasets, generating QC reports, or comparing assemblies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-methylation-pipeline
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-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-data-visualization-multipanel-figures
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-workflows-atacseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-multi-omics-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pathway-gsea
Gene Set Enrichment Analysis using clusterProfiler gseGO and gseKEGG. Use when analyzing ranked gene lists to find coordinated expression changes in gene sets without arbitrary significance cutoffs. Detects subtle but coordinated expression changes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-sequence-properties
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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bio-tcr-bcr-analysis-scirpy-analysis
Analyze single-cell TCR and BCR data integrated with gene expression using scirpy. Use when working with 10x Genomics VDJ data alongside scRNA-seq or when integrating immune receptor information with cell state analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009