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ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models.
Marvel, Skylar W; To, Kimberly; Grimm, Fabian A; Wright, Fred A; Rusyn, Ivan; Reif, David M.
Affiliation
  • Marvel SW; Bioinformatics Research Center, Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Box 7566, 1 Lampe Drive, Raleigh, NC, 27695, USA.
  • To K; Bioinformatics Research Center, Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Box 7566, 1 Lampe Drive, Raleigh, NC, 27695, USA.
  • Grimm FA; Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
  • Wright FA; Bioinformatics Research Center, Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Box 7566, 1 Lampe Drive, Raleigh, NC, 27695, USA.
  • Rusyn I; Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
  • Reif DM; Bioinformatics Research Center, Center for Human Health and the Environment, Department of Biological Sciences, North Carolina State University, Box 7566, 1 Lampe Drive, Raleigh, NC, 27695, USA. dmreif@ncsu.edu.
BMC Bioinformatics ; 19(1): 80, 2018 03 05.
Article in En | MEDLINE | ID: mdl-29506467
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 .
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: User-Computer Interface / Software / Information Dissemination / Models, Theoretical Type of study: Risk_factors_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2018 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: User-Computer Interface / Software / Information Dissemination / Models, Theoretical Type of study: Risk_factors_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2018 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido