Abstract
SummaryOrdino is a web-based analysis tool for cancer genomics that allows users to flexibly rank, filter and explore genes, cell lines and tissue samples based on pre-loaded data, including The Cancer Genome Atlas, the Cancer Cell Line Encyclopedia and manually uploaded information. Interactive tabular data visualization that facilitates the user-driven prioritization process forms a core component of Ordino. Detail views of selected items complement the exploration. Findings can be stored, shared and reproduced via the integrated session management.Availability and implementationOrdino is publicly available at https://ordino.caleydoapp.org. The source code is released at https://github.com/Caleydo/ordino under the Mozilla Public License 2.0.Supplementary information Supplementary data are available at Bioinformatics online.
Highlights
A common approach in data-driven knowledge discovery is to prioritize a collection of items, such as genes, cell lines and tissue samples, based on a rich set of experimental data and metadata
We present Ordino, an open-source, web-based visual analysis tool for flexible ranking, filtering and exploring of cancer genomics data (Fig. 1)
We believe that Ordino is a powerful cancer genomics tool for flexibly prioritizing and exploring items based on a rich set of experimental data and metadata
Summary
A common approach in data-driven knowledge discovery is to prioritize a collection of items, such as genes, cell lines and tissue samples, based on a rich set of experimental data and metadata. Applications include, for instance, selecting the most appropriate cell line for an experiment or identifying genes that could serve as potential drug targets or biomarkers This can be challenging due to both heterogeneity and size of the data and the fact that multiple attributes need to be considered in combination. StratomeX by Streit et al (2014)], on the other hand, have no data pre-loaded, lack important features due to their narrow focus, or are not (or no longer) publicly available. To fill this gap, we present Ordino, an open-source, web-based visual analysis tool for flexible ranking, filtering and exploring of cancer genomics data (Fig. 1). We demonstrate the use and effectiveness of Ordino in two case studies (Supplementary Notes, Figs S2–S10 and Video)
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