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name: biostudio-alpha-sc description: Run BioTuring's BioStudio Alpha SC GPU stack to accelerate single-cell and spatial multi-omics analysis on NVIDIA Blackwell-class hardware. keywords:

• single-cell
• gpu-acceleration
• biostudio
• spatial-transcriptomics
• multi-omics measurable_outcome: Process a 1+ million cell atlas (10x HDF5 or FASTQ) end-to-end in BioStudio Alpha SC with QC, clustering, and annotation layers inside one work session. license: Proprietary (BioTuring EULA) metadata: author: Single-Cell Systems Team version: "2026.03" compatibility:
• system: BioStudio Alpha SC (cloud or on-prem)
• system: NVIDIA Blackwell / Hopper GPUs w/ 32GB+ VRAM allowed-tools:
• web_fetch
• read_file
• run_shell_command

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BioStudio Alpha SC Skill

Alpha SC combines BioStudio's GPU-native runtime with curated notebooks so you can ingest scRNA-seq, ATAC, and spatial assays without writing boilerplate pipelines.

When to Use

• Projects that regularly exceed laptop memory/GPU budgets.
• Cohorts that mix single-cell RNA, spatial transcriptomics, protein panels, or metabolomic overlays.
• Teams that need turnkey NVIDIA Blackwell acceleration with enterprise support.

Key Capabilities

1. GPU streaming engine: Alpha SC offloads PCA, UMAP, Leiden/Phenograph, and batch correction to NVIDIA Blackwell GPUs for 10–30× speedups over CPU clusters.
2. Unified workbench: Launch JupyterLab, RStudio, and the BioStudio GUI from one workspace; swap between code and visual layers without data copies.
3. Cross-modal viewers: Synchronized single-cell, Visium/Xenium, and CODEX panels for neighborhood statistics.
4. Notebook library: Ready-to-run notebooks for QC, trajectory (PyTorch/Scanpy), perturb-seq scoring, and AI copilots for annotation.
5. Data fabric: Native connectors for 10x Genomics Cloud, AWS S3, and BioTuring Atlas (45M+ cells) so you can join public atlases with in-house data.

Setup Checklist

1. Provision workspace:
   • Cloud BioStudio account (

     Alpha SC

     tier) or on-prem appliance with Blackwell GPUs.
   • Attach at least 2×2TB NVMe scratch plus S3-compatible object store for raw FASTQ backup.
2. Sync data:

   bs sync --source s3://lab-mpn/raw_fastq/ --target /work/raw_fastq/
   bs convert tenx --input patient1/outs --output /work/h5/alpha_sc/
   

3. Launch environment: Use the Control Room to start an

   Alpha SC

   session (recommended: 4 Blackwell GPUs, 512 GB RAM). Enable the

   Spatial Explorer

   add-on if you have Visium/Xenium slides.
4. Install add-ons (once per workspace):

   pip install --user biostudio-alpha-sc kitsune-trajectory==0.7.1
   bs plugins enable ai-annotation
   

Standard Workflow

1. Quality Control Notebook:

   notebooks/alpha_sc_qc.ipynb

   • Run ambient RNA removal, mitochondrial filters, and doublet detection.
   • Persist metrics to

     /work/results/qc_summary.parquet

     for downstream dashboards.
2. Batch Harmonization:

   scripts/run_scvi_bridge.py

   • Auto-detects donors/technologies, trains scVI on GPUs, writes harmonized

     .h5ad

     .
3. Clustering & Annotation:
   • Use

     Alpha Annotator

     (LLM-assisted) to propose marker panels, then verify with manual gating.
   • Export label sets as

     .csv

     for EMR ingestion.
4. Spatial Overlay:
   • Load Visium/Xenium data into the

     Spatial Explorer

     tab, align with single-cell UMAP clusters, compute ligand-receptor neighborhoods.
5. Reporting:
   • Use

     biostudio report create --template mpn-clinical.yaml

     to bundle figures + provenance, ready for BioTuring Hub or PDF export.

Tips & Guardrails

• Keep raw + processed layers separate; Alpha SC snapshots entire workspaces, so use object storage lifecycle policies to control cost.
• AI annotation copilots make suggestions—lock final labels only after manual/marker validation.
• Pin notebooks before sharing with clinical collaborators so inference environments remain reproducible.
• For HIPAA/PHI, enable the BioStudio private VPC deployment with audit logging.

References

1. BioStudio, Alpha SC GPU-accelerated single-cell stack (Blackwell architecture). https://www.biostudio.ai/alpha-sc
2. BioStudio, Integrated BioStudio platform overview (AI, visualization, HPC). https://www.biostudio.ai/
3. BioStudio, BioStudio B105 workstation for multi-omics acceleration. https://www.biostudio.ai/b105
4. BioStudio, BioStudio Alpha SC documentation hub (Beta3 release notes). https://help.biostudio.ai/hc/en-us/articles/alpha-sc-beta3

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