How GenePool Works


Upload genomics data to GenePool, or connect GenePool to a remote data store

  • Our interactive data uploader takes you step-by-step through getting your data into GenePool – whether it's coming from your local machine, Amazon S3 bucket, Google Cloud Storage, Illumina BaseSpace account, DNAnexus account, or Seven Bridges Genomics account.
  • GenePool supports data generated from a wide variety of genomics assays in common data formats 
  • GenePool makes it simple for you to attach your patient, sample, & phenotypic metadata to imported genomics data
  • Automate data import using GenePool APIs

Run any number of analyses on your data

Interactively chart and filter your results to zero-in on meaningful candidates

  • Statistics-based filters
    • P-Values
    • False Discovery Rates
    • Cox Proportional Hazard Ratios
    • Fold Changes
    • Standard Deviations
    • etc.
  • Biological-based filters driven by annotation content
  • Co-Expression Networks based on gene-by-gene correlation coefficients
  • Heat Map powered up by conventional clustering algorithms, your sample metadata, and genomic annotations
  • Gene-Set Enrichment Analysis helps you identify meaningful biology

Launch into GenePool's multi-genome browser to drill down and validate your candidates

  • Easily navigate the evidence supporting your candidate markers using the rich features built-in to the genome browser
    • Summary coverage plots
    • Isoform views
    • Alignment quality filters
    • Directionality filters
    • Sequencing reads from any sample
    • Specific sequencing read details
    • Called mutation details

Save, export, and share your findings with others

  • Save structured queries and results
  • Export results to popular table-based formats
  • Share your interactive, dynamic results and reports with colleagues within GenePool
  • Create customized reports to support clinical workflows

Ready to dive in?