Data & Analytics

Data analysis, BI, visualization, datasets, statistics, and ML workflows

skills in category: 12,625
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Showing 1,297–1,320 of 12,625 skills

Building DashboardsADesigns and builds Axiom dashboards via API. Covers chart types, APL patterns, SmartFilters, layout, and configuration options. Use when creating dashboards, migrating from Splunk, or configuring chart options.datagobashVotes: 0GitHub stars: 2
Browsing BlueskyABrowse Bluesky content via API and firehose - search posts, fetch user activity, sample trending topics, read feeds and lists. Use for Bluesky research, user monitoring, trend analysis, feed reading, firehose sampling.datapythonbashVotes: 0GitHub stars: 2
Biorxiv Database 3AEfficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.datapythongoVotes: 0GitHub stars: 2
Bio Workflows Spatial PipelineAEnd-to-end spatial transcriptomics workflow for Visium/Xenium data. Covers data loading, preprocessing, spatial analysis, domain detection, and visualization with Squidpy. Use when analyzing spatial transcriptomics data.datapythonexpressVotes: 0GitHub stars: 2
Bio Workflows Smrna PipelineAEnd-to-end small RNA-seq analysis from FASTQ to differential miRNA expression. Use when analyzing miRNA, piRNA, or other small RNA sequencing data.databashexpressVotes: 0GitHub stars: 2
Bio Workflows Rnaseq To DeAEnd-to-end RNA-seq workflow from FASTQ files to differential expression results. Covers QC, quantification (Salmon or STAR+featureCounts), and DESeq2 analysis with visualization. Use when running RNA-seq from FASTQ to DE results.datagobashVotes: 0GitHub stars: 2
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Bio Workflows Proteomics PipelineAEnd-to-end proteomics workflow from MaxQuant output to differential protein abundance. Orchestrates data import, normalization, imputation, and statistical testing with MSstats or limma. Use when processing mass spectrometry proteomics.datatestingperformanceVotes: 0GitHub stars: 2
Bio Workflows Multi Omics PipelineAEnd-to-end multi-omics integration workflow. Orchestrates data harmonization, MOFA/mixOmics integration, factor interpretation, and downstream analysis across transcriptomics, proteomics, metabolomics, and other modalities. Use when integrating multiple omics datasets.datagoexpressVotes: 0GitHub stars: 2
Bio Workflows Microbiome PipelineAEnd-to-end 16S amplicon workflow from FASTQ reads to differential abundance. Orchestrates DADA2 ASV inference, taxonomy assignment, diversity analysis, and compositional testing with ALDEx2. Use when processing 16S/ITS amplicon data.datarustgoVotes: 0GitHub stars: 2
Bio Workflows Methylation PipelineAEnd-to-end bisulfite sequencing workflow from FASTQ to differentially methylated regions. Covers Bismark alignment, methylation calling, and DMR detection with methylKit. Use when analyzing bisulfite sequencing data.datagobashVotes: 0GitHub stars: 2
Bio Workflows Metagenomics PipelineAEnd-to-end metagenomics workflow from FASTQ to taxonomic and functional profiles. Covers Kraken2 classification, Bracken abundance estimation, and HUMAnN functional profiling. Use when profiling metagenomic samples.datapythonbashVotes: 0GitHub stars: 2
Bio Workflows Metabolomics PipelineAEnd-to-end metabolomics workflow from raw MS data to pathway analysis. Orchestrates XCMS preprocessing, annotation, normalization, statistical analysis, and pathway mapping. Use when processing LC-MS metabolomics data.datatestingdatabaseVotes: 0GitHub stars: 2
Bio Workflows Imc PipelineAEnd-to-end imaging mass cytometry workflow from raw acquisitions to spatial cell analysis. Orchestrates image preprocessing, segmentation, phenotyping, and spatial statistics. Use when analyzing imaging mass cytometry data end-to-end.datapythonbashVotes: 0GitHub stars: 2
Bio Workflows Hic PipelineAEnd-to-end Hi-C analysis workflow from contact pairs to compartments, TADs, and loops. Covers cooler matrices, cooltools analysis, and visualization. Use when processing Hi-C data to compartments and TADs.datapythongoVotes: 0GitHub stars: 2
Bio Workflows Gwas PipelineAEnd-to-end GWAS workflow from VCF to association results. Covers PLINK QC, population structure correction, and association testing for case-control or quantitative traits. Use when running genome-wide association studies.databashtestingVotes: 0GitHub stars: 2
Bio Workflows Expression To PathwaysAWorkflow from differential expression results to functional enrichment analysis. Covers GO, KEGG, Reactome enrichment with clusterProfiler and visualization. Use when taking DE results to pathway enrichment.datagoreactVotes: 0GitHub stars: 2
Bio Workflows Cytometry PipelineAEnd-to-end flow cytometry workflow from FCS files to differential analysis. Orchestrates compensation, transformation, gating/clustering, and statistical testing with CATALYST/diffcyt. Use when processing flow or mass cytometry data end-to-end.datapythonexpressVotes: 0GitHub stars: 2
Bio Workflows Crispr Screen PipelineAEnd-to-end CRISPR screen analysis from FASTQ to hit genes. Orchestrates guide counting, QC, statistical analysis with MAGeCK, and hit calling with multiple methods. Use when analyzing pooled CRISPR screens from count data to hit calling.datapythonbashVotes: 0GitHub stars: 2
Bio Workflows Cnv PipelineAEnd-to-end copy number variant detection workflow from BAM files. Covers CNVkit analysis for exome/targeted sequencing with visualization and annotation. Use when detecting copy number alterations from sequencing data.databashVotes: 0GitHub stars: 2
Bio Workflows Chipseq PipelineAEnd-to-end ChIP-seq workflow from FASTQ files to annotated peaks. Covers QC, alignment, peak calling with MACS3, and peak annotation with ChIPseeker. Use when processing ChIP-seq data from alignment through peak annotation.datagobashVotes: 0GitHub stars: 2
Bio Workflows Atacseq PipelineAEnd-to-end ATAC-seq workflow from FASTQ files to differential accessibility and TF footprinting. Covers alignment, peak calling with MACS3, QC metrics, and optional TOBIAS footprinting. Use when running end-to-end ATAC-seq analysis from FASTQ to differential accessibility.datagobashVotes: 0GitHub stars: 2
Bio Tcr Bcr Analysis Vdjtools AnalysisACalculate immune repertoire diversity metrics, compare samples, and track clonal dynamics using VDJtools. Use when analyzing repertoire diversity, finding shared clonotypes, or comparing immune profiles between conditions.datapythongoVotes: 0GitHub stars: 2
Bio Tcr Bcr Analysis Scirpy AnalysisAAnalyze 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.datapythongoVotes: 0GitHub stars: 2
Bio Tcr Bcr Analysis Repertoire VisualizationACreate publication-quality visualizations of immune repertoire data including circos plots, clone tracking, diversity plots, and network graphs. Use when generating figures for repertoire comparisons, clonal dynamics, or V(D)J gene usage.datapythonbashVotes: 0GitHub stars: 2