Myrna

Myrna performs differential gene expression analysis on large RNA sequencing (RNA-Seq) datasets to identify genes with significant expression changes between experimental conditions.

Key Features:

• Cloud-computing pipeline: Executes processing and analysis on cloud resources to scale to large RNA-Seq datasets.
• Differential gene expression calculation: Computes differential expression across samples derived from RNA-Seq experiments.
• High-throughput data support: Designed to handle sequencing throughput on the order of dozens of gigabases per day.
• Model goodness-of-fit assessment: Evaluates the goodness of fit of standard statistical models used in differential expression analysis.
• Public dataset applicability: Applicable to analysis of publicly available RNA-Seq datasets for large-scale studies.

Scientific Applications:

• Differential expression studies: Identifying genes with altered expression between experimental conditions using RNA-Seq data.
• Statistical model evaluation: Assessing the adequacy of standard statistical models for RNA-Seq differential expression analysis.
• Genomics and transcriptomics research: Enabling large-scale analyses in genomics and transcriptomics that require processing high-throughput RNA-Seq data.

Methodology:

Myrna implements a cloud-computing pipeline that processes RNA-Seq data to compute differential gene expression and assess the goodness of fit of standard statistical models.