SeqsLab Data Hub

From genome sequencing and multi-omics analysis to biopharma R&D and medical diagnostics, clinical laboratories and biotech enterprises lean on data to deliver precision medicine and develop value-added healthcare solutions. It all starts with a standardized data repository system.

SeqsLab Data Hub supports a wide range of data analytical use cases in biomedical industries. It provides an integrated interface of data access ranging from blob storage and data lake to data warehousing and relational database. SeqsLab Data Hub applies findable, accessible, interoperable, and reusable principles, enabling users to connect, integrate, and manage big data workloads from a secure central repository.

Automate service operations

All datasets are uniquely findable by self-contained and fully qualified names. It can automatically improve data accessibility and interoperability so data consumers can access data in a single and standard way without manual intervention based on their application requirements, thus optimizing operational costs.

For details, see Creating a SeqsLab Run Sheet for sequencing experiments.

Build future-proof workflows

Modern applications require reliable data management built on data lakehouse architecture. It allows researchers to store and process large amounts of varied data at a lower infrastructure cost, and optimize them for analytics, state-of-the-art SQL, and machine learning performance. Learn more (we need an article in docs to describe how the new workflow engine implements delta lake.)

For details, see SeqsLab delta lake.

Meet changing user needs

SeqsLab Data Hub provides a GA4GH Data Repository Service API that enables application developers to repeatedly leverage data and functions to build new products and services. The open standard REST API allows businesses to rapidly adapt to meet changing user needs and preferences.

For details, see Data repository service.

seqslab-datahub

To learn more about how to use SeqsLab Data Hub, see Manage your datasets.