Start generating genomics data with Synthesize Bio

Start building
with Synthesize Bio

Generative models for human gene expression — predict bulk and single-cell profiles across tissues, cell types, perturbations, and disease states from metadata alone.

Available through Python and R SDKs, MCP-compatible tools, and the web.

Quickstart

API key

Python
R

import pysynthbio

# Get an example query
query = pysynthbio.get_example_query(model_id="gem-1-bulk")["example_query"]

# Generate a dataset
result = pysynthbio.predict_query(query, model_id="gem-1-bulk")

# Access the results
metadata = result["metadata"]
expression = result["expression"]

library(rsynthbio)

# Get an example query
query <- get_example_query(model_id = "gem-1-bulk")$example_query

# Generate a dataset
result <- predict_query(query, model_id = "gem-1-bulk")

# Access the results
metadata <- result$metadata
expression <- result$expression

Python SDK

Use pysynthbio to predict gene expression from your Python notebooks and pipelines. Jump to the Python SDK or start from the Quickstart.

R SDK

Use rsynthbio to predict gene expression from your R notebooks and pipelines. Jump to the R SDK or start from the Quickstart.

MCP

Use MCP-compatible AI tools to predict gene expression and chat about your results.

Platform

Low- and no-code exploration in the browser — no local install required.

About our models

Generate synthetic gene expression profiles from metadata alone, then use them in downstream analysis and integration workflows.

GEM-1 bulk

Baseline model for predicting bulk gene expression.

GEM-1 single-cell

Baseline model for predicting single-cell gene expression.

GEM-2

— next-generation capabilities.

Advanced platform capabilities

Reference conditioning

Anchor generation to an existing, real reference sample while you apply perturbations or other modifications.

Metadata prediction

Predict or infer biological characteristics such as cell type, tissue, disease state, and more. Vocabularies and fields are model-specific — see Available metadata.

Reach out to partnerships@synthesize.bio if you are interested in trying out the advanced capabilities.

Support

Schedule a meeting

Email us to set up time with the team.

Email us

support@synthesize.bio for product and integration questions.