DIANA-mAP

DIANA-mAP processes microRNA (miRNA) Next-Generation Sequencing (NGS) small RNA-Seq (sRNA-Seq) data to perform preprocessing, quantification, and differential expression analysis.

Key Features:

• Automated Workflow: Provides an end-to-end automated workflow from raw sRNA-Seq libraries to miRNA quantification and differential expression results.
• Pre-processing and Quality Control: Performs early-stage pre-processing and quality control of raw sRNA-Seq reads, including adapter handling and filtering.
• Quantification: Generates miRNA expression quantification from processed sRNA-Seq data.
• Differential Expression Analysis: Identifies significant miRNA expression changes across conditions using integrated differential expression analysis.
• Modularity and Customization: Employs a modular design that enables configurable selection of analysis steps and parameters.
• Parallelizability: Supports parallel processing to accelerate large-scale analyses.
• High-Quality Outputs: Produces comprehensive expression results, detailed reports, and informative graphs for downstream analysis.
• Superior Adapter Handling: Implements pre-processing approaches that can effectively handle adapter sequences without prior knowledge of their identity.

Scientific Applications:

• miRNA expression profiling: Enables high-throughput quantification of miRNA expression profiles from sRNA-Seq datasets.
• Differential expression studies: Facilitates identification of differentially expressed miRNAs across conditions or treatments.
• Regulatory role research: Supports investigation of miRNA involvement in post-transcriptional regulation and gene expression networks.
• Disease mechanism and therapeutic target exploration: Provides expression data to explore miRNA associations with pathological conditions and potential therapeutic targets.

Methodology:

Pre-processing of raw sRNA-Seq reads with quality control and adapter handling, followed by miRNA quantification and differential expression analysis using integrated algorithms; the pipeline supports modular configuration and parallel execution.