miTRATA: A web-based tool for microRNA Truncation and Tailing Analysis

Parth Patel, S. Deepthi Ramachandruni, Atul Kakrana, Mayumi Nakano, Blake C. Meyers

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Summary: We describe miTRATA, the first web-based tool for microRNA Truncation and Tailing Analysis - the analysis of 3′ modifications of microRNAs including the loss or gain of nucleotides relative to the canonical sequence. miTRATA is implemented in Python (version 3) and employs parallel processing modules to enhance its scalability when analyzing multiple small RNA (sRNA) sequencing datasets. It utilizes miRBase, currently version 21, as a source of known microRNAs for analysis. miTRATA notifies user(s) via email to download as well as visualize the results online. miTRATA's strengths lie in (i) its biologist-focused web interface, (ii) improved scalability via parallel processing and (iii) its uniqueness as a webtool to perform microRNA truncation and tailing analysis.

Original languageEnglish
Pages (from-to)450-452
Number of pages3
JournalBioinformatics
Volume32
Issue number3
DOIs
StatePublished - Feb 1 2016

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