What is HeLx?

Teams using HeLx are implementing flexible tools and solutions to explore their data in a wide variety of scientific domains

What can HeLx do for you?

Data Science Workspaces

Existing applications include notebooks, imaging, Apache Spark, and Nextflow workflows with an extensible metadata-driven architecture

Semantic Search

Access Dug, our intuitive full-text-driven, knowledge-graph-augmented semantic search.

Portable Installation

Scalable cloud-native architecture with Kubernetes, Apache Airflow, and Nextflow

Pluggable Persistence and Authorization

Open source technology supports multiple authentication providers and authorization models

How is HeLx being used?

EduHeLx empowers students to explore the field of data science in an environment which prioritizes student investigation, focus, and cooperative discovery. EduHeLx instances are launched for each individual educator and course, making them fully customizable and unique for the students and course material. EduHeLx is currently deployed for select UNC-Chapel Hill courses.

For Scientific Discovery at Scale (SciDAS), HeLx executes the Nextflow workflow engine as an app in Kubernetes to drive highly parallel, GPU-intensive workflows in Kubernetes. The system takes full advantage of the cloud by dynamically scaling costly GPU resources according to demand.

Restarting Research (ReCCAP) is a project for data management and analytics of COVID-19 RT-PCR and custom antibody tests of UNC researchers using on-campus laboratories and facilities. Researchers use Blackbalsam and Jupyter Data Science notebooks in Python and R kernels as environments for data science experimentation.

BRAIN-I is a computational infrastructure for handling huge medical images combined with a discovery environment where neuroscience researchers can run custom applications and conduct their analysis. BRAIN-I handles big data and computation in a user-friendly way so even new researchers can focus fully on their science.