Jasmine

Jasmine provides hierarchical characterization of microRNA isoforms (isomiRs) from miRNA-Seq data to enable detailed analysis of isomiR population structures and structural diversity.

Key Features:

• Hierarchical framework: Employs a systematic hierarchical framework that characterizes isomiR populations into increasingly refined sub-populations.
• Data compatibility: Accepts raw sequencing reads in FASTQ or FASTA formats and mapped reads in SAM format.
• Comprehensive analysis: Produces more detailed characterization of isomiR structural variations than standard miRNA-Seq analyses.
• Standardized isomiR definitions: Provides a standardized approach to defining and characterizing isomiRs to facilitate comparability across analyses.
• Implementation: Implemented in Java and R.

Scientific Applications:

• miRNA biology: Enables detailed study of isomiR diversity and its implications for miRNA function.
• Gene regulation: Aids elucidation of regulatory mechanisms underlying gene expression mediated by isomiR variation.
• Disease research: Supports analysis of isomiR involvement in disease pathogenesis where miRNAs play a role.
• Biomarker discovery: Facilitates detection of subtle changes in isomiR populations for biomarker identification.
• Therapeutic target identification: Assists in identifying isomiR-related targets for therapeutic investigation.

Methodology:

Processes raw sequencing reads (FASTQ/FASTA) and mapped reads (SAM) through a hierarchical framework that systematically categorizes isomiRs based on defined criteria.