Oasis
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Application data |
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| Created by | Vincenzo Capece, Julio C. Garcia Vizcaino, Ramon Vidal, Raza-Ur Rahman, Tonatiuh Pena Centeno, Orr Shomroni, Irantzu Suberviola, Andre Fischer and Stefan Bonn |
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| Biological application domain(s) | RNA |
| Principal bioinformatics method(s) | Read mapping, Differential expression analysis |
| Technology | Illumina |
| Created at | German Center for Neurodegenerative Diseases (DZNE) |
| Maintained? | Yes |
| Input format(s) | (Compressed) FASTQ, FASTQ |
| Output format(s) | HTML, XLS |
| Software features | differential expression, classification, API, miRNA target prediction |
| Programming language(s) | JavaScript, Perl, Java, Python, Bash, C |
| Operating system(s) | all supporting JVM |
| Contact: | Stefan.Bonn@dzne.de |
Summary: Oasis is a web application that allows for the fast and flexible online analysis of small-RNA-seq (sRNA-seq) data. It was designed for the end user in the lab, providing an easy-to-use web frontend including video tutorials, demo data, and best practice step-by-step guidelines on how to analyze sRNA-seq data. Oasis' exclusive selling points are a differential expression module that allows for the multivariate analysis of samples, a classification module for robust biomarker detection, and an API that supports the batch submission of jobs. Both modules include the analysis of novel miRNAs, miRNA targets, and functional analyses including GO and pathway enrichment. Oasis generates downloadable interactive web reports for easy visualization, exploration, and analysis of data on a local system.
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Description
Oasis is a web application that allows for the fast and flexible online analysis of small-RNA-seq (sRNA-seq) data. It was designed for the end user in the lab, providing an easy-to-use web frontend including video tutorials, demo data, and best practice step-by-step guidelines on how to analyze sRNA-seq data. Oasis' exclusive selling points are a differential expression module that allows for the multivariate analysis of samples, a classification module for robust biomarker detection, and an API that supports the batch submission of jobs. Both modules include the analysis of novel miRNAs, miRNA targets, and functional analyses including GO and pathway enrichment. Oasis generates downloadable interactive web reports for easy visualization, exploration, and analysis of data on a local system. Finally, Oasis' modular workflow enables for the rapid (re-) analysis of data. Availability and Implementation: Oasis is implemented in Python, R, Java, PHP, C++, and JavaScript. It is freely available at http://oasis.dzne.de
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