miTRATA

miTRATA characterizes microRNA truncation and tailing events from small RNA (sRNA) sequencing datasets to identify and quantify 3' end nucleotide additions and losses that affect miRNA maturation, stability, and function.

Key Features:

• MicroRNA truncation and tailing analysis: Detects and quantifies 3' end truncations and nucleotide tailing events in microRNAs from sRNA sequencing data.
• sRNA sequencing input: Processes small RNA (sRNA) sequencing datasets as the primary input for analysis.
• Reference integration: Uses miRBase version 21 as the reference database for known microRNA sequences.
• Implementation and scalability: Implemented in Python 3 and employs parallel processing modules to scale analyses and handle large numbers of sRNA sequencing datasets.

Scientific Applications:

• miRNA biogenesis: Enables examination of alternative processing and maturation events that produce 3' end variants of miRNAs.
• miRNA stability and target specificity: Assesses how truncation and tailing influence miRNA stability and potential target recognition.
• Regulatory function and disease studies: Supports investigation of post-transcriptional miRNA modifications in biological processes and pathologies.

Methodology:

Implemented in Python 3 for core analytical functionalities, uses parallel processing modules to manage and scale the analysis of sRNA sequencing datasets, and integrates miRBase v21 as the reference for known miRNA sequences.