We work with biotech leaders
to uncover
the stories
in their data.

You have experimental or observational data, and you want to know what's significant, what's important, and what you can conclude. 

• Descriptive stats
• High-throughput screening

You have omics data. (Lots of omics data!) We help you to gain insight into your systems and can analyze:

• SNP/variant calls
• RNAseq transcriptomics
• Metabolomics

You have an idea, and you want to design an experiment to effectively and efficiently test your idea. We help with:

• Design-of-experiment analysis (DOE) to determine what experimental factors matter most.
• Power Analysis to determine number of replicates.

You want to best leverage your multivariate data. We offer

• Predictive modeling
• Unsupervised learning

You have old data and are curious about patterns, trends, and relationships. We delve into the data to provide guidance on future research.

We build tools to automate:

• Accessing data from instrumentation and databases
• Cleaning & reshaping data
• Integrating data from different sources
• Managing data in databases
• Generating visualizations and analyses
• Building and sharing reports

We work with modern scripting tools (R, python, bash, SQL) to organize and streamline your data workflows.