95% of drug programs fail and most of them because the target was wrong. BioBox helps scientists identify and validate drug targets using evidence directly from sequencing data quickly.
A new data-layer that harnesses the power of both technologies to make biological data-mining easy.
Make your data searchable. Curate a proprietary knowledge graph with harmonized properties from Ontology databases.
Get evidence-based answers, not hallucinations. Using natural language, retrieve data-driven answers from your knowledge graph.
Start mining your data with natural language in 3 easy steps.
Build out a controlled dictionary of data properties collaboratively to make sure everyone on the team is on the same page.
Leverage API integrations include REST services to stream in data from s3 and gcs. Hook up your workflows to connect the outputs to the platform.
Let the platform work its magic. Sit back and watch your sequencing data self-organize into a semantic knowledge graph and search it with the Knowledge Engine
Share a compelling narrative with your team. Leverage collaborative, interactive and customizable multi-omic dashboards to explore large cohorts of data.
Tools to wrangle, process, and analyze multi-omics data, including Bulk RNAseq, scRNAseq, WGS, WES, ChIP-seq and more.
Developers
REST API to connect the BioBox platform to internal tools.
Public Data
Instantly access over 85,000 analysis ready publicly available sequencing datasets from TCGA, GEO, SRA, and more.
Get answers based on evidence, not hallucinations.
Learn more about how modern biotechs are deploying BioBox to hit R&D milestones and make mission-critical decisions with confidence.
Identify and prioritize disease specific targets. Obtain a comprehensive understanding of the biological underpinnings of a disease. Compare and contrast targets identified in the public domain and in your proprietary data.
Find compelling evidence across public and private data to support the efficacy of a target. Identify target and disease relationships across multi-omic observations. Share findings and collaborate with team members.
Find additional indications for your therapeutic asset to expand its value. Use the BioBox Knowledge Engine to create in-silico models and uncover hidden connections between drug and diseases.
