Pythiomics API
Seamless Queries. Seamless Computation.
Get programmatic access to Pythiomics — our trusted, well-curated multi-omics database — directly from your native environment.
Access, Query, and Compute with Confidence
The Pythiomics API is a software package that provides programmatic access to Pythiomics, our well-curated and standardized multi-omics database of more than 10,000 datasets. It enables retrieving and quering the database directly from native bioinformatics environments such as Jupyter Notebook and RStudio - and receiving results in various formats, including text-based matrix files, XML, or JSON.
Programmatically Explore
10,000+ Multi-omics Datasets
Explore a standardized and reliable data source of comprehensive multi-omics data meticulously curated, harmonized and QC'ed.
Bulk RNA
Visium HD & Xenium
Coming soon
Single-cell RNA
Metabolomics
Coming soon
Proteomics
ATAC-Seq & CITE-Seq
Coming soon
Visium Spatial
CHIP-Seq
Coming soon
CosMx
Mutation & GWAS
Coming soon
Tailor-made for Computational Biologists and Bioinformaticians
Whether you're building custom workflows or running large-scale analyses, Pythiomics API puts trusted omics data at your fingertips — ready to explore, compute, and publish.
Programmatic Access
Integrate directly with your codebase using Python or R.
Trusted Data
Work with harmonized, quality-controlled omics data curated by experts.
Flexible Integration
Use within familiar tools like Jupyter, RStudio, or your custom pipelines.
Scalable Analysis
Build and run scalable workflows using clean, structured omics data.
Flexible Access. Flexible Analytics.
Retrieve expression profiles across cell types, tissues and conditions
Explore expression patterns and proportions across our Pythiomics database.
Summarize important DE genes and proteins across cell types, diseases, or treatments
Find differentially expressed genes across conditions, tissues, or treatments across datasets and summarize findings.
Take a deep dive into individual datasets
Download and perform in-depth analyses into a dataset of interest.
Share and collaborate
Upload and share results with bench colleagues through C-DIAM GUI.
