10x Genomics Cloud

Education

Automate 10x Genomics Cloud analysis through Neotask on OpenClaw

What You Can Do

Neotask connects to 10x Genomics Cloud through OpenClaw, giving researchers conversational control over their single-cell and spatial genomics workflows — without navigating complex dashboards.

Pipeline Management

  • Launch analysis pipelines — Trigger Cell Ranger, Space Ranger, or Loupe Browser workflows by describing your experiment parameters in plain English
  • Monitor run status — Check which pipelines are running, queued, or complete and surface any errors without logging into the cloud console
  • Retrieve results — Pull analysis outputs, QC metrics, and summary reports for completed runs
  • Rerun failed jobs — Identify failed pipeline steps and resubmit with corrected parameters

    • Dataset Operations

  • Browse datasets — List all datasets in your workspace filtered by project, sample type, or date
  • Download outputs — Fetch specific result files such as filtered feature-barcode matrices or tissue image outputs
  • Organize projects — Create project folders, move datasets, and maintain consistent naming conventions at scale
  • Compare experiments — Pull metadata across multiple runs to compare cell counts, sequencing depth, and quality metrics side by side

    • Collaboration & Reporting

  • Share datasets — Generate sharing links or add collaborators to specific projects
  • Export summaries — Pull experiment summaries in structured formats for reports or downstream analysis tools
  • Track sample lineage — Query which samples came from which source libraries and what analysis versions were used

    • Try Asking

  • "Show me all completed Cell Ranger runs from this month"
  • "What's the cell count and median genes per cell for my last scRNA-seq run?"
  • "Download the filtered feature-barcode matrix for sample SRS_001"
  • "Rerun the pipeline for sample ID xyz with chemistry version 3"
  • "List all datasets in the Tumor Microenvironment project"
  • "Which of my recent runs failed QC and what was the reason?"
  • "Compare sequencing saturation across my last 5 runs"
  • "Add my colleague [email] as a collaborator on the Spatial Transcriptomics project"

    • Pro Tips

  • Neotask on OpenClaw can cross-reference 10x Genomics Cloud results with your lab notebook or downstream analysis tools — ask it to summarize a run and add a note to your Notion or Google Doc automatically
  • For large experiment cohorts, ask for batch summaries rather than querying run by run — "give me a table of all runs this quarter with cell count and mapping rate"
  • Combine with compute integrations through Neotask: trigger a 10x pipeline, monitor it, and notify your Slack channel when it's done
  • Use structured queries to enforce QC thresholds: "show me all samples where sequencing saturation is below 50%" surfaces problem runs before downstream analysis begins

    • Works Well With