Genomics Virtual Lab

Genomics Virtual Lab enables high-throughput genomics analysis by integrating bioinformatics tools, large reference datasets, reproducible workflow platforms, and scalable cloud-based compute clusters.

Key Features:

• Comprehensive Toolset: Includes a wide range of analysis and visualization bioinformatics tools integrated with user and large reference datasets.
• Workflow Platforms: Supports reproducible and portable analyses via Galaxy, RStudio, IPython Notebook, and command-line environments.
• Scalable Resources: Provides scalable computational resources with the ability to dynamically adjust compute clusters.
• Cloud-Based Infrastructure: Implemented as a middleware layer of machine images, cloud management tools, and online services to enable construction of custom-sized compute clusters.
• Flexibility in Compute and Data: Allows modification of compute nodes and data resources to meet analysis requirements.

Scientific Applications:

• High-throughput genomics analysis: Supports compute-intensive processing and transformation of large genomic datasets.
• Reproducible workflows: Enables reproducible execution of analysis pipelines and workflows for genomics research.
• Large-reference-dataset analyses: Facilitates analyses that integrate substantial reference datasets alongside user data.

Methodology:

Implements cloud-agnostic middleware composed of machine images, cloud management tools, and online services to build and dynamically scale custom compute clusters across OpenStack-based Australian Research Cloud and Amazon Web Services.