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BioinformaticsBMC Bioinformatics
Peer-reviewed journal article

Oasis2.0: improved online analysis of small RNA-seq data

Raza‐Ur RahmaniD, Abhivyakti Gautam, Jörn BethuneiD, Abdul Sattar, Maksims FiošinsiD, Daniel Sumner MagruderiD, Vincenzo CapeceiD, Orr ShomroniiD, Stefan BonniD

Abstract

Oasis 2 is a new main release of the Oasis web application for the detection, differential expression, and classification of small RNAs in deep sequencing data. Compared to its predecessor Oasis, Oasis 2 features a novel and speed-optimized sRNA detection module that supports the identification of small RNAs in any organism with higher accuracy. Next to the improved detection of small RNAs in a target organism, the software now also recognizes potential cross-species miRNAs and viral and bacterial sRNAs in infected samples. In addition, novel miRNAs can now be queried and visualized interactively, providing essential information for over 700 high-quality miRNA predictions across 14 organisms. Robust biomarker signatures can now be obtained using the novel enhanced classification module. Oasis 2 enables biologists and medical researchers to rapidly analyze and query small RNA deep sequencing data with improved precision, recall, and speed, in an interactive and user-friendly environment.\n\nAvailability and Implementation: Oasis 2 is implemented in Java, J2EE, mysql, Python, R, PHP and JavaScript. It is freely available at http://oasis.dzne.de

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02 /Specification & Classification

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