Hunt, Guy P, Grassi, Luigi, Henkin, Rafael, Smeraldi, Fabrizio, Spargo, Thomas P, Kabiljo, Renata, Koks, Sulev 
ORCID: 0000-0001-6087-6643, Ibrahim, Zina, Dobson, Richard JB, Al-Chalabi, Ammar et al (show 2 more authors)
(2022)
GEOexplorer: a webserver for gene expression analysis and visualisation.
NUCLEIC ACIDS RESEARCH, 50 (W1).
W367-W374.
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Microarray Analysis, Gene Expression Profiling, Software, Databases, Genetic, RNA-Seq |
| Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 26 Oct 2022 14:20 |
| Last Modified: | 23 Nov 2023 03:53 |
| DOI: | 10.1093/nar/gkac364 |
| Open Access URL: | https://doi.org/10.1093/nar/gkac364 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3165796 |
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