Data used in bioinformatics is often large, messy, and in esoteric file formats.
Luckily for us, cloud-based data lakes are the perfect choice for storing and organizing data at-scale.
Plus, having your data available in your cloud environment unlocks its use with other cloud tools for scalable bioinformatics pipelines, machine learning, reporting, and more!
As a first step when you begin working with us, we'll help you determine the best organization strategy for the data in your genomics data lake.
Organizing your data is key to making it useful as your lake continues to grow and eventually houses all sorts of data.
Due to its widespread use in enterprise data architectures for storing tons of data, cloud-based data lakes are a perfect option for housing genomics data and integrating with other cloud-based services.
Once your data is organized in a data lake, you can then use tools like Azure Databricks or Azure Synapse Analytics to query across your entire data estate, unlocking insights faster than ever.
"How many of the samples in Study B have Gene ERBB2 expression > 10 TPM across all RNA-seq analyses?"
"Return a combined list of all spectrophotometer readings for Client Q's studies in 2022."
"What is the average expression Protein Q9NZQ7 across all of Client X's spatial proteomics runs?"