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Using GlioVis to Explore, Analyze, and Visualize Brain Tumor Multi-Omics Datasets

Abstract

With the prevalence of large multi-omics datasets in recent years, it has become more important than ever to integrate and functionalize these large quantities of information to better answer research questions in cancer research. GlioVis is a web-based tool allowing users to access and analyze proteomic, transcriptomic, genomic, and other clinical data from primary brain cancer datasets. GlioVis provides an excellent way for researchers and scientists to explore genes of interest and analyze their own transcriptomic data in a user-friendly portal, however, collaboration with bioinformaticians and biostatisticians is recommended to validate and confirm these preliminary analyses. This chapter will provide readers with an overview on how to use GlioVis, the functions and methods underlying the platform’s tools, and its current limitations.

Authors

Ang P; Venugopal C; Singh SK; Escudero L

Book title

Brain Tumor Stem Cells

Series

Methods in Molecular Biology

Volume

2944

Pagination

pp. 239-256

Publisher

Springer Nature

Publication Date

January 1, 2025

DOI

10.1007/978-1-0716-4654-0_19
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