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ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models
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 in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838926/ https://www.ncbi.nlm.nih.gov/pubmed/29506467 http://dx.doi.org/10.1186/s12859-018-2089-2 |
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author | Marvel, Skylar W. To, Kimberly Grimm, Fabian A. Wright, Fred A. Rusyn, Ivan Reif, David M. |
author_facet | Marvel, Skylar W. To, Kimberly Grimm, Fabian A. Wright, Fred A. Rusyn, Ivan Reif, David M. |
author_sort | Marvel, Skylar W. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5838926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58389262018-03-09 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. BMC Bioinformatics Software 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. BioMed Central 2018-03-05 /pmc/articles/PMC5838926/ /pubmed/29506467 http://dx.doi.org/10.1186/s12859-018-2089-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Marvel, Skylar W. To, Kimberly Grimm, Fabian A. Wright, Fred A. Rusyn, Ivan Reif, David M. ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models |
title | ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models |
title_full | ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models |
title_fullStr | ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models |
title_full_unstemmed | ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models |
title_short | ToxPi Graphical User Interface 2.0: Dynamic exploration, visualization, and sharing of integrated data models |
title_sort | toxpi graphical user interface 2.0: dynamic exploration, visualization, and sharing of integrated data models |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838926/ https://www.ncbi.nlm.nih.gov/pubmed/29506467 http://dx.doi.org/10.1186/s12859-018-2089-2 |
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