Quick Start

Navigate to DLAB Projects and login.

Follow these steps to launch your first secure research environment:

1. Create a Project:

   • Navigate to the Dashboard and click + New Project.

   • Enter a Project Name (e.g., "Alpha-Kinase Inhibitor Study").

   • Select a Visibility Level: Private (encrypted, invite-only) or Public (open science).

2. Select Environment (Upcoming):

   • Choose a base image. We provide pre-configured environments for:

     • Standard Bio: Python, Biopython, Pandas, NumPy.

     • Deep Learning: PyTorch/TensorFlow with CUDA support.

     • DeLong Native: Pre-installed with delong-datasets and delong-models SDKs.

3. Compute Resources (Upcoming):

   • Select your TEE Instance type (e.g., TEE-GPU-A100 for heavy training or TEE-CPU-Std for data cleaning).

4. Launch:

   • Click Start Workspace. Your secure JupyterLab environment will spin up in approximately 1-5 minutes.