Our Mission

BioQuery exists to democratize access to cancer genomics data. We believe that every researcher, clinician, and scientist should be able to explore the wealth of public genomic datasets—without needing to write code or navigate complex bioinformatics pipelines.

The Problem

Cancer genomics has generated an extraordinary wealth of public data. TCGA alone contains molecular profiles from over 11,000 patients across 33 cancer types. Yet accessing this data remains surprisingly difficult.

Existing tools like cBioPortal are powerful, but they have a learning curve. Researchers who just want to quickly check if a gene is differentially expressed, or whether a mutation correlates with survival, often find themselves:

• Navigating complex web interfaces with dozens of options
• Writing custom R or Python scripts for straightforward queries
• Struggling to reproduce analyses they saw in publications
• Unable to easily share their exploratory findings with collaborators

For physicians and researchers without bioinformatics training, the barrier is even higher. They have important questions about cancer biology but lack the time or technical skills to extract answers from the data.

The Solution

BioQuery lets you ask questions in plain English and get publication-ready answers in seconds.

Type a question like "Is TP53 expression associated with survival in lung adenocarcinoma?" and get back a complete analysis: Kaplan-Meier curves, hazard ratios, p-values, and a methods section you can drop directly into your paper.

Every result is packaged as a Query Card—a reproducible, shareable unit that captures not just the figure, but the exact query, statistical methods, and data sources. Share a link with your collaborator, and they see exactly what you saw.

And when you need to go deeper, export your results to continue analysis in Python or R. BioQuery is designed to be a starting point, not a dead end.

Meet the Founder

Alex Nesta, PhD

Founder

Alex is a researcher with a background spanning bioinformatics, cancer biology, and data science. After years of watching colleagues struggle to access genomic data—and spending countless hours writing one-off scripts for simple queries—he built BioQuery to solve the problem once and for all.

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Get in Touch

Have questions, feedback, or ideas? We'd love to hear from you.

• General inquiries: hello@bioquery.io
• Support: support@bioquery.io
• Partnerships: partnerships@bioquery.io