Back to Search Start Over

Oasis 2: improved online analysis of small RNA-seq data.

Authors :
Rahman, Raza-Ur
Gautam, Abhivyakti
Bethune, Jörn
Sattar, Abdul
Fiosins, Maksims
Sumner Magruder, Daniel
Capece, Vincenzo
Shomroni, Orr
Bonn, Stefan
Source :
BMC Bioinformatics; 2/14/2018, Vol. 19, p1-10, 10p, 1 Diagram, 4 Charts, 2 Graphs
Publication Year :
2018

Abstract

Background: Small RNA molecules play important roles in many biological processes and their dysregulation or dysfunction can cause disease. The current method of choice for genome-wide sRNA expression profiling is deep sequencing. Results: Here we present Oasis 2, which 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. Conclusions: 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712105
Volume :
19
Database :
Complementary Index
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
128022967
Full Text :
https://doi.org/10.1186/s12859-018-2047-z