Journal Article

ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models

To, Kimberly, Grimm, Fabian A., Reif, David M., Marvel, Skylar W., Rusyn, Ivan, Wright, Fred A.

2018

Overview

Background Drawing integrated conclusions from diverse source data requires synthesis across multiple types of information. The ToxPi (Toxicological Prioritization Index) is an analytical framework that was developed to enable integration of multiple sources of evidence by transforming data into integrated, visual profiles. Methodological improvements have advanced ToxPi and expanded its applicability, necessitating a new, consolidated software platform to provide functionality, while preserving flexibility for future updates. Results We detail the implementation of a new graphical user interface for ToxPi (Toxicological Prioritization Index) that provides interactive visualization, analysis, reporting, and portability. The interface is deployed as a stand-alone, platform-independent Java application, with a modular design to accommodate inclusion of future analytics. The new ToxPi interface introduces several features, from flexible data import formats (including legacy formats that permit backward compatibility) to similarity-based clustering to options for high-resolution graphical output. Conclusions We present the new ToxPi interface for dynamic exploration, visualization, and sharing of integrated data models. The ToxPi interface is freely-available as a single compressed download that includes the main Java executable, all libraries, example data files, and a complete user manual from http://toxpi.org .

• Publisher: BioMed Central,BioMed Central Ltd,BMC
• Subject: Algorithms / Analysis / Bioinformatics / Biomedical and Life Sciences / Computational Biology/Bioinformatics / Computer Appl. in Life Sciences / Data integration / Graphical user interface / Graphical user interfaces / image analysis and data visualization / Imaging / Life Sciences / Microarrays / Risk assessment / Software / Software; systems biology / Visual analytics / Visualization (Computer)