GEOexplorer: a webserver for gene expression analysis and visualisation. Issue Volume 50:Issue W1(2022) (24th May 2022)

• Record Type: Journal Article
• Authors: Hunt, Guy P; Grassi, Luigi; Henkin, Rafael; Smeraldi, Fabrizio; Spargo, Thomas P; Kabiljo, Renata; Koks, Sulev; Ibrahim, Zina; Dobson, Richard J B; Al-Chalabi, Ammar; Barnes, Michael R; Iacoangeli, Alfredo
• Is Part Of: Nucleic acids research. Volume 50:Issue W1(2022)
• Page Start: W367
• Page End: W374
• Publication Date: 2022-05-24
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkac364
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: Gene Expression Omnibus (GEO) is a database repository hosting a substantial proportion of publicly available high throughput gene expression data. Gene expression analysis is a powerful tool to gain insight into the mechanisms and processes underlying the biological and phenotypic differences between sample groups. Despite the wide availability of gene expression datasets, their access, analysis, and integration are not trivial and require specific expertise and programming proficiency. We developed the GEOexplorer webserver to allow scientists to access, integrate and analyse gene expression datasets without requiring programming proficiency. Via its user-friendly graphic interface, users can easily apply GEOexplorer to perform interactive and reproducible gene expression analysis of microarray and RNA-seq datasets, while producing a wealth of interactive visualisations to facilitate data exploration and interpretation, and generating a range of publication ready figures. The webserver allows users to search and retrieve datasets from GEO as well as to upload user-generated data and combine and harmonise two datasets to perform joint analyses. GEOexplorer, available at https://geoexplorer.rosalind.kcl.ac.uk, provides a solution for performing interactive and reproducible analyses of microarray and RNA-seq gene expression data, empowering life scientists to perform exploratory data analysis and differential gene expression analysis on-the-fly without informatics proficiency. Graphical Abstract: