MAGI: a Node.js web service for fast MicroRNA-Seq Analysis in a GPU Infrastructure

MAGI is a web service for fast MicroRNA-Seq data analysis in a GPU infrastructure. Using just a browser, users have access to results as web-reports in just a few hours – over 600% end-to-end performance improvement over state-of-the-art. MAGI’s salient features are:

(i) transfer of large input files in native FASTQ format through drag-and-drop operations,

(ii) rapid prediction of microRNA target genes leveraging parallel computing with GPU devices,

(iii) all-in-one analytics with novel feature extraction, statistical test for differential expression, and diagnostic plot generation for quality control, and

(iv) interactive visualization and exploration of results in web-reports that are readily available for publication.

Availability and implementation: MAGI relies on the Node.js JavaScript framework, along with NVIDIA CUDA C, PHP, Perl, R. It is freely available at http://magi.ucsd.edu.

Contact: j5kim@ucsd.edu