Data & Analytics

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

skills in category: 12,630
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Showing 12,169–12,192 of 12,630 skills

Image AnalysisAProcess and analyze tissue images from spatial transcriptomics data using Squidpy. Extract image features, segment cells/nuclei, and compute morphological features from H&E or IF images. Use when processing tissue images for spatial transcriptomics.datapythonexpressVotes: 0GitHub stars: 32
Trajectory InferenceAInfer developmental trajectories and pseudotime from single-cell RNA-seq data using Monocle3, Slingshot, and scVelo for RNA velocity analysis. Use when inferring developmental trajectories or pseudotime.datapythonbashVotes: 0GitHub stars: 32
Scatac AnalysisASingle-cell ATAC-seq analysis with Signac (R/Seurat) and ArchR. Process 10X Genomics scATAC data, perform QC, dimensionality reduction, clustering, peak calling, and motif activity scoring with chromVAR. Use when analyzing single-cell ATAC-seq data.datapythongoVotes: 0GitHub stars: 32
Perturb SeqAAnalyze Perturb-seq and CROP-seq CRISPR screening data integrated with scRNA-seq. Use when identifying gene function through pooled genetic perturbations in single cells.datapythongoVotes: 0GitHub stars: 32
Metabolite CommunicationAAnalyze metabolite-mediated cell-cell communication using MeboCost for metabolic signaling inference between cell types. Predict metabolite secretion and sensing patterns from scRNA-seq data. Use when studying metabolic crosstalk between cell populations or metabolite-receptor interactions.datapythongoVotes: 0GitHub stars: 32
Lineage TracingAReconstruct cell lineage trees from CRISPR barcode tracing or mitochondrial mutations. Use when studying clonal dynamics, cell fate decisions, or developmental trajectories.datapythonexpressVotes: 0GitHub stars: 32
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Data IoARead, write, and create single-cell data objects using Seurat (R) and Scanpy (Python). Use for loading 10X Genomics data, importing/exporting h5ad and RDS files, creating Seurat objects and AnnData objects, and converting between formats. Use when loading, saving, or converting single-cell data formats.datapythonexpressVotes: 0GitHub stars: 32
ClusteringAscRNA-seq clustering analysisdatapythongoVotes: 0GitHub stars: 32
Strain TrackingATrack bacterial strains using MASH, sourmash, fastANI, and inStrain. Compare genomes, detect contamination, and monitor strain-level variation. Use when needing sub-species resolution for outbreak tracking, transmission analysis, or within-host strain dynamics.datapythonbashVotes: 0GitHub stars: 32
Metaphlan ProfilingAMarker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resources are limited, or for comparison with HMP/other MetaPhlAn studies.datapythonbashVotes: 0GitHub stars: 32
Metagenome VisualizationAVisualize 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.datapythonbashVotes: 0GitHub stars: 32
XlsxA"Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas"datapythongoVotes: 0GitHub stars: 32
Prefab OptimizationAOptimize prefabrication and modular construction workflows. Plan module sequencing, factory scheduling, transportation logistics, and on-site assembly for maximum efficiency.datapythongoVotes: 0GitHub stars: 299
Portfolio DashboardAMulti-project portfolio analytics dashboard. Aggregate KPIs across projects, track portfolio health, compare performance, and support executive decision-making.datapythongoVotes: 0GitHub stars: 299
Open Construction EstimateAAccess and utilize open construction pricing databases. Match BIM elements to standardized work items, calculate costs using public unit price databases with 55,000+ work items.datapythongoVotes: 0GitHub stars: 299
Labor Productivity AnalyticsAAnalyze construction labor productivity using data analytics. Track worker performance, identify inefficiencies, predict resource needs, and optimize crew allocation for maximum efficiency.datapythondatabaseVotes: 0GitHub stars: 299
Equipment TelematicsAIntegrate and analyze telematics data from heavy construction equipment. Track location, utilization, fuel consumption, maintenance needs, and operator behavior.datapythongoVotes: 0GitHub stars: 299
Environmental MonitoringAMonitor environmental conditions on construction sites. Track air quality, noise levels, vibration, dust, and weather to ensure compliance and worker safety.datapythonbashVotes: 0GitHub stars: 299
Energy SimulationABuilding energy simulation and analysis for construction. Calculate heating/cooling loads, evaluate envelope performance, optimize HVAC sizing, and ensure energy code compliance.datapythongoVotes: 0GitHub stars: 299
Drone Site SurveyAProcess drone survey data for construction sites. Generate orthomosaics, DEMs, point clouds, calculate volumes, track progress, and integrate with BIM models for comparison.datapythongoVotes: 0GitHub stars: 299
Change Order AnalysisAAnalyze and predict construction change orders using ML. Classify change order types, predict costs and schedule impacts, identify patterns, and optimize approval workflows.datapythonVotes: 0GitHub stars: 299
Cashflow ForecasterAForecast construction project cash flow. Project income and expenses, identify funding gaps, and optimize payment timing for improved financial management.datapythongoVotes: 0GitHub stars: 299
Input ValidationAValidate construction data inputs before processing: cost estimates, schedules, BIM data, field reports. Catch errors early with domain-specific rules.datapythonVotes: 0GitHub stars: 299
Schedule CompressionACompress construction schedules using crashing and fast-tracking techniques. Analyze cost-time tradeoffs and find optimal acceleration strategies.datapythonbashVotes: 0GitHub stars: 299