Panomics Documentation
  • Overview
  • Projects
    • Project Structure
    • Project Visibility
    • Project Access
  • Samples
    • Sample Lifecycle
    • Sample Ingestion
    • Sample Metadata
  • Analyses
    • Create an Analysis
    • Delete an Analysis
    • Change Analysis Status
    • Publish an Analysis
    • View Analysis Audit Trail
    • Analysis Workbench
      • Quality Control
      • Gene Expression
      • Compute Statistics
      • Sample/Cell Explorer
        • Normalization
        • UMAP
      • Cell Composition
      • Marker Genes
      • Differential Gene Expression
      • Differential Pathway Activity
      • WGCNA
      • Gene Set Enrichment
    • Data Slices
  • OmicsBrowser
  • Gene Signature Similarity
  • Compute Runtimes
    • Codeless Compute
    • Code-based Compute
  • API Keys
  • Administration
    • Roles
    • Users
    • Ontologies
    • Metadata Fields
    • Collections
    • Gene Set Collections
    • Organization Settings
  • Release Notes
  • Technical Support
  • Legal
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Samples

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Last updated 7 months ago

Samples form the backbone of the data management system in Panomics. Samples have 2 major components:

  1. The biological data (e.g.: gene expression counts table)

  2. The metadata (e.g.: phenotypic information, such as tissue, disease, severity, treatment, response)

Once ingested and processed, samples become available for analysis. Samples are searchable using all the metadata fields configured in the organization and can be analyzed by study, or combined to create atlases.

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Sample Lifecycle

Learn how samples transition from one status to another.

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Sample Ingestion

Learn how to import samples in your Panomics organization.

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Sample Metadata

Learn how to add consistent metadata to your samples.