
NIOME
ث (Theh)SN55NIOME is a decentralized AI subnet that enables privacy-safe genomic intelligence by replacing real human genomes with high-fidelity synthetic genomic profiles
Overview
Registration Activity
Neuron registration trends

NIOME is a decentralized AI subnet that enables privacy-safe genomic intelligence by replacing real human genomes with high-fidelity synthetic genomic profiles
Neuron registration trends
The alpha price in τ, day by day, and what moved it each way.
Log change over the last 30 days −8.17%: protocol buys 0.00%, root sells −0.58%, users net −18.70%, cross-subnet +11.12%, unattributed −0.01%.
The chart follows the alpha price in τ. Each period starts at its opening price and steps through the mechanisms below, in a fixed order, to its closing price: a step that rises pushed the price up, one that falls pushed it down, and its height is how far it moved the price. A thin line carries each close into the next period’s open; it is dashed where the two differ. The faint candle behind each period is the market’s own open, high, low and close, for context.
With many periods on screen (90 days, or hours), the steps would be too thin to read, so the chart draws the price as a line instead and colours each period by the mechanism that moved it most. Hover a period for the full step-by-step breakdown.
Not here, because they do not move the spot price: the per-block TAO injection into the pool, and burns.
All figures are log changes, not simple percentage changes, so the parts add up exactly to the total; on big moves the two differ (a 10% log fall is a 9.5% price fall).
2026-11-03 UTC, as of ≈05:06 UTC (block 9,423,227)
The day isn’t over yet, so these figures keep changing. They are in no daily total, average or rank.
Genome editing research is constrained by the scarcity and cost of large-scale CRISPR datasets. Existing datasets are expensive to generate experimentally, biased toward a small number of gene loci, limited in mutation diversity—particularly for disease-relevant variants like HBB mutations—and insufficient for training robust, generalizable machine learning models for editing outcomes.
A decentralized network of contributors can generate synthetic CRISPR experimental data at arbitrary scale without requiring wet-lab infrastructure. By distributing the data generation task and implementing economic incentives for quality submissions, a network can explore sequence-function space across disease-relevant variants while maintaining biological consistency through computational validation.
NIOMe implements this on Bittensor subnet 55 by coordinating miners who generate CRISPR experimental designs (guide RNA sequences, target positions, mutations, Cas systems) conforming to HBB-focused task specifications.
Validators evaluate each submission through five progressive stages—structural validity, statistical plausibility, biophysical outcome simulation, cross-consistency learning, and distributional fidelity to real CRISPR data—then reward miners in TAO based on submission quality.
Auto-generated from the GitHub repository and may not reflect the latest changes.
NIOME is a decentralized compute network on Bittensor subnet 55 for generating synthetic CRISPR experiment datasets focused on the HBB (beta-globin) gene locus. Miners generate biologically constrained CRISPR experimental designs, while validators evaluate submissions through a progressive multi-stage validation pipeline that checks structural validity, biological plausibility, biophysical outcomes, cross-consistency, and distributional fidelity to real CRISPR data.
The NIOME subnet follows a distributed validation architecture. The backend generates CRISPR dataset generation tasks focused on HBB gene locus and provides them to validators. Validators fetch tasks and broadcast them to miners.
Miners generate lists of CRISPR experiments conforming to task specifications (including guide RNA sequences, target positions, mutation types, Cas system choices) and upload datasets to validator-provided cloud storage (S3 or Google Drive) via presigned URLs. Validators evaluate submissions through a progressive 5-stage validation pipeline, from basic structural checks to sophisticated biophysical simulations and distributional fidelity tests. Based on multi-stage evaluation scores, validators assign rewards in TAO to miners.
Validators run a 5-stage validation pipeline: (1) Structural Gate - validates DNA syntax, PAM sequences, guide length, mutation whitelist compliance; (2) Statistical Plausibility - evaluates GC content, spatial consistency, structural realism; (3) Biophysical Simulation - simulates cut probability, repair pathways (HDR/NHEJ), indel distributions; (4) Cross-Consistency - checks learned biological relationships using ML models; (5) Distributional Fidelity - compares synthetic datasets to real CRISPR data distributions. Miners must NOT include predicted efficiency scores, repair outcomes, or derived biological labels - all outcomes are computed exclusively by validators to prevent optimization shortcuts.
The sections above were auto-generated from the GitHub repository and may not reflect the latest changes. View repository (github.com, opens in a new tab, external site)
NIOME is a decentralized AI subnet that enables privacy-safe genomic intelligence by replacing real human genomes with high-fidelity synthetic genomic profiles
This information was auto-extracted from the GitHub repository and may be incomplete or out of date. Always refer to the subnet's GitHub repository (github.com, opens in a new tab, external site) for the latest instructions.
Not yet verified: Notes
Not yet verified: GPU, RAM, Storage, Notes
Machine-extracted from the subnet's repository docs; may be wrong or out of date. Check the repository before buying or renting hardware. Open the repository (github.com, opens in a new tab, external site) · Extracted 19 Oct 2026
Clone the NIOME subnet repository
git clone https://github.com/genomesio/subnet-niome.git && cd subnet-niome
Create and activate a Python virtual environment(optional)
python3 -m venv venv && source venv/bin/activate
Install required Python dependencies
python3 -m pip install -r requirements.txt
Install Bittensor CLI tools
python3 -m pip install bittensor-cli
Create a coldkey (primary wallet) for storing TAO
btcli wallet new_coldkey --wallet.name your_coldkey
Create a hotkey (miner identity) linked to the coldkey
btcli wallet new_hotkey --wallet.name your_coldkey --wallet.hotkey your_hotkey
Fund your coldkey wallet with TAO to cover registration fees
Transfer TAO to your coldkey address
Register your hotkey to NIOME subnet (netuid 55)
btcli subnet register --netuid 55 --wallet.name your_coldkey --wallet.hotkey your_hotkey
Set Python path to include project root
export PYTHONPATH="$PYTHONPATH:$(pwd)"
Start the miner neuron
python neurons/miner.py --netuid 55 --subtensor.network finney --wallet.name your_coldkey --wallet.hotkey your_hotkey --axon.port your_port
Keep miner active and online to receive validator queries(optional)
Use pm2 or tmux to keep miner running in background
Clone the NIOME subnet repository
git clone https://github.com/genomesio/subnet-niome.git && cd subnet-niome
Create and activate a Python virtual environment(optional)
python3 -m venv venv && source venv/bin/activate
Install required Python dependencies
python3 -m pip install -r requirements.txt
Set up Docker repository and GPG key
sudo apt-get update && sudo apt-get install -y ca-certificates curl gnupg && sudo install -m 0755 -d /etc/apt/keyrings && curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
Add Docker APT source repository
echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu $(. /etc/os-release && echo $VERSION_CODENAME) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
Install Docker packages
sudo apt-get update && sudo apt-get install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
Verify Docker installation
docker run --rm hello-world
Configure cloud storage for miner submissions (AWS S3 OR Google Drive)
Copy .env.example to .env and configure AWS S3 or Google Drive credentials
Make entrypoint script executable
chmod +x entrypoint.sh
Run validator setup and initialization script interactively
./entrypoint.sh
| Day (UTC) | Share |
|---|---|
| 2026-11-02 | 0.01% |
| 2026-11-01 | 0.01% |
| 2026-10-31 | 0.01% |
| 2026-10-30 | 0.01% |
| 2026-10-29 | 0.01% |
| 2026-10-28 | 0.01% |
| 2026-10-27 | 0.01% |
| 2026-10-26 | 0.01% |
| 2026-10-25 | 0.01% |
| 2026-10-24 | 0.01% |
| 2026-10-23 | 0.01% |
| 2026-10-22 | 0.01% |
| 2026-10-21 | 0.01% |
| 2026-10-20 | 0.01% |
| 2026-10-19 | 0.01% |
| 2026-10-18 | 0.0035% |
| 2026-10-17 | 0.00% |
| 2026-10-16 | 0.00% |
| 2026-10-15 | 0.00% |
| 2026-10-14 | 0.00% |
| 2026-10-13 | 0.0034% |
| 2026-10-12 | 0.01% |
| 2026-10-11 | 0.01% |
| 2026-10-10 | 0.01% |
| 2026-10-09 | 0.0047% |
| 2026-10-08 | 0.0049% |
| 2026-10-07 | 0.01% |
| 2026-10-06 | 0.01% |
| 2026-10-05 | 0.01% |
| 2026-10-04 | 0.01% |
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| 2026-10-02 | 0.01% |
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| 2026-09-30 | 0.01% |
| 2026-09-29 | 0.01% |
| 2026-09-28 | 0.01% |
| 2026-09-27 | 0.01% |
| 2026-09-26 | 0.01% |
| 2026-09-25 | 0.01% |
| 2026-09-24 | 0.01% |
| 2026-09-23 | 0.01% |
| 2026-09-22 | 0.01% |
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| 2026-09-07 | 0.02% |
| 2026-09-06 | 0.03% |
| 2026-09-05 | 0.04% |
| 2026-09-04 | 0.03% |
| 2026-09-03 | 0.03% |
| 2026-09-02 | 0.02% |
| 2026-09-01 | 0.02% |
| 2026-08-31 | 0.02% |
| 2026-08-30 | 0.02% |
| 2026-08-29 | 0.02% |
| 2026-08-28 | 0.02% |
| 2026-08-27 | 0.02% |
| 2026-08-26 | 0.01% |
| 2026-08-25 | 0.01% |
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| 2026-08-22 | 0.02% |
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| 2026-08-17 | 0.02% |
| 2026-08-16 | 0.02% |
| 2026-08-15 | 0.02% |
| 2026-08-14 | 0.02% |
| 2026-08-13 | 0.02% |
| 2026-08-12 | 0.01% |
| 2026-08-11 | 0.02% |
| 2026-08-10 | 0.02% |
| 2026-08-09 | 0.03% |
| 2026-08-08 | 0.02% |
| 2026-08-07 | 0.02% |
| 2026-08-06 | 0.03% |
| 2026-08-05 | 0.03% |