shinyGISPA: A web application for characterizing phenotype by gene sets using multiple omics data combinations.
In: PLoS ONE, Jg. 13 (2018-02-07), Heft 2, S. 1-10
academicJournal
Zugriff:
While many methods exist for integrating multi-omics data or defining gene sets, there is no one single tool that defines gene sets based on merging of multiple omics data sets. We present shinyGISPA, an open-source application with a user-friendly web-based interface to define genes according to their similarity in several molecular changes that are driving a disease phenotype. This tool was developed to help facilitate the usability of a previously published method, Gene Integrated Set Profile Analysis (GISPA), among researchers with limited computer-programming skills. The GISPA method allows the identification of multiple gene sets that may play a role in the characterization, clinical application, or functional relevance of a disease phenotype. The tool provides an automated workflow that is highly scalable and adaptable to applications that go beyond genomic data merging analysis. It is available at . [ABSTRACT FROM AUTHOR]
Titel: |
shinyGISPA: A web application for characterizing phenotype by gene sets using multiple omics data combinations.
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Autor/in / Beteiligte Person: | Dwivedi, Bhakti ; Kowalski, Jeanne |
Zeitschrift: | PLoS ONE, Jg. 13 (2018-02-07), Heft 2, S. 1-10 |
Veröffentlichung: | 2018 |
Medientyp: | academicJournal |
ISSN: | 1932-6203 (print) |
DOI: | 10.1371/journal.pone.0192563 |
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