Abstract
Summary To facilitate the biological interpretation of omics data, we developed a general omics data visualization platform termed omicsViewer, enabling interactive visualization of statistical results and performing downstream analyses directly in response to features and samples selected. Multiple hypotheses and parameters can be evaluated in a few clicks. In addition, users can share the platform and statistical results with collaborators and the public in different ways.
Availability and Implementation The project page is https://github.com/mengchen18/omicsViewer
Contact chen.meng{at}tum.de
Competing Interest Statement
The authors have declared no competing interest.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Posted March 13, 2022.
Fast analyzing, exploring and sharing quantitative omics data using omicsViewer
