Sponsored by

Find leads on Reddit on auto pilot

Topic: openclaw

3,425 skills in this topic.

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-experimental-design-power-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-prediction-explanation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metagenomics-visualization Visualize metagenomic profiles using R (phyloseq, microbiome) and Python (matplotlib, seaborn). Create stacked bar plots, heatmaps, PCA plots, and diversity analyses. Use when creating publication-quality figures from MetaPhlAn, Bracken, or other taxonomic profiling output.
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-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-clinical-databases-somatic-signatures Extract and analyze mutational signatures from somatic variants using SigProfiler or MutationalPatterns to characterize mutagenic processes. Use when identifying DNA damage mechanisms or etiology in cancer genomes.
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-genome-assembly-hifi-assembly
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
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
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-epitranscriptomics-modification-visualization
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-chipseq-super-enhancers Identifies super-enhancers from H3K27ac ChIP-seq data using ROSE and related tools. Use when studying cell identity genes, cancer-associated regulatory elements, or master transcription factor binding regions that cluster into large enhancer domains.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-methylation-bismark-alignment Bisulfite sequencing read alignment using Bismark with bowtie2/hisat2. Handles genome preparation and produces BAM files with methylation information. Use when aligning WGBS, RRBS, or other bisulfite-converted sequencing reads to a reference genome.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-microbiome-functional-prediction Predict metagenome functional content from 16S rRNA marker gene data using PICRUSt2. Infer KEGG, MetaCyc, and EC abundances from ASV tables. Use when functional profiling is needed from 16S data without shotgun metagenomics sequencing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-multi-omics-data-harmonization Preprocessing and harmonization of multi-omics data before integration. Covers normalization, batch correction, feature alignment, and missing value handling across data types. Use when preparing multi-omics datasets for integration analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-indexing
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-metabolomics-statistical-analysis Statistical analysis for metabolomics data. Covers univariate testing, multivariate methods (PCA, PLS-DA), and biomarker discovery. Use when identifying differentially abundant metabolites or building classification models.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-metagenome-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-upset-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-longread-structural-variants Detect structural variants from long-read alignments using Sniffles, cuteSV, and SVIM. Use when detecting deletions, insertions, inversions, translocations, or complex rearrangements from ONT or PacBio data, especially those missed by short-read methods.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009