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MAGI: a Node.js web service for fast microRNA-Seq analysis in a GPU infrastructure

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

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Detalles Bibliográficos
Autores principales: Kim, Jihoon, Levy, Eric, Ferbrache, Alex, Stepanowsky, Petra, Farcas, Claudiu, Wang, Shuang, Brunner, Stefan, Bath, Tyler, Wu, Yuan, Ohno-Machado, Lucila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173015/
https://www.ncbi.nlm.nih.gov/pubmed/24907367
http://dx.doi.org/10.1093/bioinformatics/btu377
Descripción
Sumario:Summary: MAGI is a web service for fast MicroRNA-Seq data analysis in a graphics processing unit (GPU) infrastructure. Using just a browser, users have access to results as web reports in just a few hours—>600% end-to-end performance improvement over state of the art. MAGI’s salient features are (i) transfer of large input files in native FASTA with Qualities (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: Hypertext Preprocessor (PHP), Perl and R. It is freely available at http://magi.ucsd.edu. Contact: j5kim@ucsd.edu Supplementary information: Supplementary data are available at Bioinformatics online.