
Themes:
R-based visual framework for analysis of sequencing data
R-based visual framework for analysis of sequencing data
VisRseq is a framework for analysis of sequencing datasets that provides a computationally rich and accessible framework for integrative and interactive analyses without requiring programming expertise. Features include R apps, which offer a semi-auto generated and unified graphical user interface for computational packages in R and repositories such as Bioconductor. To address the interactivity limitation inherent in R libraries, the framework includes several native apps that provide exploration and brushing operations as well as an integrated genome browser. The apps can be chained together to create more powerful analysis workflows.
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Techniques: | 2D, Network / hierarchy graph |
Software: | Installed |
Technology: | Java |
Platform: | Linux, Mac OSX, Windows |
Requirements: | Mac OSX: Java SE Runtime Environment; R for Mac OS X; XQuartz, Linux: Java SE Runtime Environment; R for Linux, Windows: Java SE Runtime Environment; R for Windows |
Project development
Institution:
GrUVi Lab, Simon Fraser University, Canada
Last updated on 6th February, 2017