freedomintelligence/openclaw-medical-skills
44 skills
$npx skills add freedomintelligence/openclaw-medical-skillsSkillInstalls
adaptyvCloud laboratory platform for automated protein testing and validation.adhd-daily-planneraeonThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection,…agent-browserai-analyzerAI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。alphafoldalphafold-databaseanndataThis skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental…arboretoarxiv-searchbenchling-integrationbgpt-paper-searchbindcraftbinder-designbinding-characterizationbindingdb-databaseQuery BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen.bio-admet-predictionPredicts ADMET properties using ADMETlab 3.0 API or DeepChem models.bio-alignment-ioRead, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO.bio-alignment-msa-parsingParse and analyze multiple sequence alignments using Biopython.bio-alignment-msa-statisticsCalculate alignment statistics including sequence identity, conservation scores, substitution matrices, and similarity metrics.bio-alignment-pairwisePerform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.bio-atac-seq-atac-peak-callingCall accessible chromatin regions from ATAC-seq data using MACS3 with ATAC-specific parameters.bio-atac-seq-atac-qcQuality control metrics for ATAC-seq data including fragment size distribution, TSS enrichment, FRiP, and library complexity.bio-atac-seq-differential-accessibilityFind differentially accessible chromatin regions between conditions using DiffBind or DESeq2.bio-atac-seq-footprintingDetect transcription factor binding sites through footprinting analysis in ATAC-seq data using TOBIAS.bio-atac-seq-motif-deviationAnalyze transcription factor motif accessibility variability using chromVAR.bio-atac-seq-nucleosome-positioningExtract nucleosome positions from ATAC-seq data using NucleoATAC, ATACseqQC, and fragment analysis.bio-basecallingConvert raw Nanopore signal data (FAST5/POD5) to nucleotide sequences using Dorado basecaller.bio-batch-processingProcess multiple sequence files in batch using Biopython. Use when working with many files, merging/splitting sequences, or automating file operations across…bio-causal-genomics-colocalization-analysisTest whether two traits share a causal variant at a genomic locus using Bayesian colocalization with coloc.bio-causal-genomics-fine-mappingIdentify likely causal variants within GWAS loci using SuSiE for sum of single effects regression and FINEMAP for shotgun stochastic search.bio-causal-genomics-mediation-analysisDecompose genetic effects into direct and indirect paths through mediating variables using the mediation R package.bio-causal-genomics-mendelian-randomizationEstimate causal effects between exposures and outcomes using genetic variants as instrumental variables with TwoSampleMR.bio-causal-genomics-pleiotropy-detectionDetect and correct for horizontal pleiotropy in Mendelian randomization analyses using MR-PRESSO for outlier removal, MR-Egger regression for directional…bio-cfdna-preprocessingPreprocesses cell-free DNA sequencing data including adapter trimming, alignment optimized for short fragments, and UMI-aware duplicate removal using fgbio.bio-chipseq-differential-bindingDifferential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples.bio-chipseq-motif-analysisDe novo motif discovery and known motif enrichment analysis using HOMER and MEME-ChIP.bio-chipseq-peak-annotationAnnotate ChIP-seq peaks to genomic features and genes using ChIPseeker. Assign peaks to promoters, exons, introns, and intergenic regions.bio-chipseq-peak-callingChIP-seq peak calling using MACS3 (or MACS2). Call narrow peaks for transcription factors or broad peaks for histone modifications.bio-chipseq-qcChIP-seq quality control metrics including FRiP (Fraction of Reads in Peaks), cross-correlation analysis (NSC/RSC), library complexity, and IDR…bio-chipseq-super-enhancersIdentifies super-enhancers from H3K27ac ChIP-seq data using ROSE and related tools.bio-chipseq-visualizationVisualize ChIP-seq data using deepTools, Gviz, and ChIPseeker. Create heatmaps, profile plots, and genome browser tracks.bio-clinical-databases-clinvar-lookupQuery ClinVar for variant pathogenicity classifications, review status, and disease associations via REST API or local VCF.bio-clinical-databases-dbsnp-queriesQuery dbSNP for rsID lookups, variant annotations, and cross-references to other databases.