NGScloud

NGScloud provides scalable cloud-based computational infrastructure for RNA-seq analysis of non-model species.

Key Features:

• Cloud infrastructure: Leverages Amazon cloud services to provide on-demand computational resources for RNA-seq workflows.
• Scalability and resource tailoring: Allows allocation and adjustment of computational resources according to experiment complexity.
• Cluster-based parallelization: Implements a cluster concept to run analyses in parallel across multiple virtual machines.
• Parallel execution of standard RNA-seq programs: Enables parallel execution of standard RNA-seq analysis programs across virtual machines to accelerate processing.
• Optimization for large-scale or time-sensitive studies: Reduces processing time for large datasets or analyses requiring rapid turnaround.
• Targeted at non-model species: Focuses on RNA-seq analysis workflows applicable to non-model species with limited genomic resources.

Scientific Applications:

• RNA-seq analysis for non-model species: Enables transcriptome analyses where genomic information is limited or absent.
• Large-scale transcriptomic studies: Supports processing of large RNA-seq datasets through distributed computing.
• Rapid-turnaround or computationally intensive experiments: Supports analyses that demand accelerated processing through parallelization and scalable resources.

Methodology:

Uses Amazon cloud services and a cluster concept to enable parallel execution of standard RNA-seq analysis programs across multiple virtual machines with scalable resource allocation.