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Topic: nanoclaw

968 skills in this topic.

bio-hi-c-analysis-hic-visualization Visualize Hi-C contact matrices, TADs, loops, and genomic features using matplotlib, cooltools, and HiCExplorer. Create triangle plots, virtual 4C, and multi-track figures. Use when visualizing contact matrices or genomic features.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-hi-c-analysis-hic-differential Compare Hi-C contact matrices between conditions to identify differential chromatin interactions. Compute log2 fold changes, statistical significance, and visualize differential contact maps. Use when comparing Hi-C contacts between conditions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-hi-c-analysis-contact-pairs Process Hi-C read pairs using pairtools. Parse alignments, filter duplicates, classify pairs, and generate contact statistics from Hi-C sequencing data. Use when processing raw Hi-C read pairs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-engineering-prime-editing-design Design pegRNAs for prime editing using PrimeDesign algorithms. Generate spacer, PBS, and RT template sequences for precise genomic modifications without double-strand breaks. Use when designing prime editing experiments for precise insertions, deletions, or point mutations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-engineering-hdr-template-design Design homology-directed repair donor templates for CRISPR knock-ins using primer3-py. Create ssODN, dsDNA, or plasmid templates with optimized homology arms. Use when designing donor templates for precise insertions, tagging, or allele replacement.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-metagenome-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-hifi-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-assembly-qc
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-flow-cytometry-differential-analysis Differential abundance and state analysis for cytometry data. Compare cell populations between conditions using statistical methods. Use when testing for significant changes in cell frequencies or marker expression between groups.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-expression-matrix-counts-ingest
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-experimental-design-power-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epitranscriptomics-modification-visualization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-differential-splicing Detects differential alternative splicing between conditions using rMATS-turbo (BAM-based) or SUPPA2 diffSplice (TPM-based). Reports events with FDR-corrected significance and delta PSI effect sizes. Use when comparing splicing patterns between treatment groups, tissues, or disease states.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-upset-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-color-palettes
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
autonomous-oncology-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-dbsnp-queries Query dbSNP for rsID lookups, variant annotations, and cross-references to other databases. Use when mapping between rsIDs and genomic coordinates or retrieving basic variant information.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-atac-seq-motif-deviation Analyze transcription factor motif accessibility variability using chromVAR. Use when identifying which TF motifs show variable accessibility across samples or conditions in ATAC-seq data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-atac-seq-nucleosome-positioning Extract nucleosome positions from ATAC-seq data using NucleoATAC, ATACseqQC, and fragment analysis. Use when analyzing chromatin organization, identifying nucleosome-free regions at promoters, or characterizing nucleosome occupancy patterns from ATAC-seq fragment size distributions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-basecalling Convert raw Nanopore signal data (FAST5/POD5) to nucleotide sequences using Dorado basecaller. Covers model selection, GPU acceleration, modified base detection, and quality filtering. Use when processing raw Nanopore data before alignment. Guppy is deprecated; use Dorado for all new analyses.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-copy-number-gatk-cnv Call copy number variants using GATK best practices workflow. Supports both somatic (tumor-normal) and germline CNV detection from WGS or WES data. Use when following GATK best practices or integrating CNV calling with other GATK variant pipelines.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-indexing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-pairwise Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DNA, RNA, or protein sequences.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
ai-analyzer AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009