CloudASM

CloudASM maps allele-specific DNA methylation genome-wide on Google Cloud Platform (GCP) to quantify allele-resolved DNA methylation patterns.

Key Features:

• Scalability and Efficiency: Leverages Google Cloud Platform (GCP) to reduce computational time and scale processing to large genomic datasets.
• Serverless Architecture: Implements GCP’s serverless enterprise data warehouse to execute workflows and scale resources without dedicated servers.
• Portability: Provides a portable pipeline adaptable to different datasets and research configurations.

Scientific Applications:

• Epigenetic studies: Quantifies allele-specific DNA methylation to assess allele-resolved epigenetic states across the genome.
• Gene regulation and disease mechanisms: Enables investigation of allele-specific methylation contributions to gene regulation and disease-related allelic effects.
• Developmental biology: Facilitates analysis of allele-resolved methylation dynamics in developmental contexts.

Methodology:

The pipeline employs a novel manager that orchestrates the workflow on Google Cloud Platform (GCP), optimizing resource allocation and execution speed and utilizing a serverless enterprise data warehouse.