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  • Use cases
  • Changelog

Site Navigation

  • Use cases
  • Changelog
  • Manage data types
    • scRNA-seq
      • Standardize and append a dataset
      • Query artifacts
      • Analyze a collection in memory
      • Train a machine learning model on a collection
      • Concatenate datasets to a single array store
      • Preprocessing and clustering 3k PBMCs
    • Bulk RNA-seq
    • Methylation
    • Genomic variants
    • Flow cytometry
      • Append a new dataset
      • Query & integrate data
      • Analyze the collection and save a result
    • Spatial RNA-seq
      • Interactive visualization using Vitessce
      • Curate and ingest spatial data
      • Train a spatial ML model
    • Single-cell imaging
      • Generate single-cell images
      • Featurize single-cell images
      • Identify autophagy-positive cells
    • Multi-modal
    • EHR
  • Leverage ontologies
    • CellTypist
    • Gene Ontology (GO)
    • Cell type annotation and pathway analysis
    • RDF export & SPARQL queries
  • Access public ontologies
    • Gene
    • Protein
    • Organism
    • CellLine
    • CellType
    • CellMarker
    • Tissue
    • Disease
    • Phenotype
    • Pathway
    • ExperimentalFactor
    • DevelopmentalStage
    • Ethnicity
  • Access atlases
    • Arc Virtual Cell Atlas
    • Hubmap
    • EWAS Data Hub
    • 1000 Genomes

Genomic variants .md¶

See the https://lamin.ai/laminlabs/1000genomes database with its README, exemplary curation, and analyses.

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Methylation

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Flow cytometry

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